# Platform Modules 

- [10.0](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0.md)
- [Home](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home.md): The platform homepage appears as a default screen after successful login. This section contains explanatory content for the various Platform modules.
- [Quick Search](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/quick-search.md): The Global Search feature empowers you to quickly find what you're looking for across the entire platform—from records and files to users and modules—using a single, intuitive search bar.
- [The Navigation Panel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/the-navigation-panel.md): The platform’s navigation menu provides streamlined access to all essential features needed to manage data operations within the ecosystem.
- [My Insights](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/my-insights.md): Users can customize their homepage by pinning their preferred views for quick, at-a-glance access.
- [Workspace based Access](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/workspace-based-access.md): Workspaces allow the platform to scale across large organizations while maintaining a clean and manageable data access model.
- [Apps Menu](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/apps-menu.md): The Apps menu lists all the BDB modules together with the platform core modules for the user to kick start the data analytics journey.
- [Notifications](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/notifications.md): This section describes the notifications feature available on the platform.
- [User Profile](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/user-profile.md): This page displays the user's profile information, including personal details, account settings, and preferences.
- [Attributed Document Options](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/attributed-document-options.md): The Document Options provide users with a centralized interface to manage and configure various platform-generated or uploaded documents.
- [Accessing Document Options](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/attributed-document-options/accessing-document-options.md): The Document Options are accessible by using right click on various platform documents.
- [Options Assigned to a Folder](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/attributed-document-options/options-assigned-to-a-folder.md): This page focuses on the available options and actions assigned to a folder, based on its location and the user's access level.
- [Options Assigned to a Link URL](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/attributed-document-options/options-assigned-to-a-link-url.md): This page focuses on the available options and actions assigned to a link URL, based on its location and the user's access level.
- [Options Assigned to a Report](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/attributed-document-options/options-assigned-to-a-report.md): This page focuses on the available options and actions assigned to a Report based on its location and the user's access level.
- [Options Assigned to a Published Dashboard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/attributed-document-options/options-assigned-to-a-published-dashboard.md): This page focuses on the available options and actions assigned to a published dashboard based on its location and the user's access level.
- [Options Assigned to a Published Form](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/attributed-document-options/options-assigned-to-a-published-form.md): This page focuses on the available options and actions assigned to a published form based on its location and the user's access level.
- [Options Assigned to a Published Data Sheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/attributed-document-options/options-assigned-to-a-published-data-sheet.md): This page focuses on the available options and actions assigned to a published data sheet based on its location and the user's access level.
- [Options Assigned to a Published Data Agent](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/home/attributed-document-options/options-assigned-to-a-published-data-agent.md): This page focuses on the available options and actions assigned to a published data agent based on its location and the user's access level.
- [Data Engineering](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering.md): Data Engineering is the discipline focused on creating and maintaining the robust architecture that allows data to be collected, stored, and accessed for analysis.
- [Concepts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/concepts.md)
- [Data Pipelines](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines.md)
- [Creating a New Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/creating-a-new-pipeline.md): This section outlines the steps-by-step process for a Pipeline creation.
- [Manage Pipelines](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/manage-pipelines.md): You can access the pipelines created by you or shared to you from the Pipelines page. You can view, update, and manage related actions for a pipeline from this page.
- [Pipeline Actions](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-actions.md): This section outlines the pipeline actions in depth.
- [Activate & Deactivate Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-actions/activate-and-deactivate-pipeline.md): This section outlines the steps to activate and deactivate a pipeline from the Pipelines list page within the Data Engineering module.
- [View Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-actions/view-pipeline.md): This section focuses on how to access the workflow editor view of the selected pipeline.
- [Share Pipeline with Entitlement](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-actions/share-pipeline-with-entitlement.md): This section aims at describing the behaviour of a shared pipeline when used with an entitlement.
- [Edit Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-actions/edit-pipeline.md): The Edit Pipeline page allows users to update pipeline configurations, including name, description, resource allocation, and scheduling settings.
- [Pipeline Monitoring](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-actions/pipeline-monitoring.md)
- [Pull & Push Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-actions/pull-and-push-pipeline.md): This section details the procedures for migrating pipelines and managing their versions within the Version Control System (VCS).
- [Delete Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-actions/delete-pipeline.md): This section outlines the steps to remove the selected pipeline.
- [Pipeline Editor](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor.md): The Editor page of the Pipeline module serves as the central canvas for building and managing data flows.
- [Connecting Components](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/connecting-components.md): An event-driven architecture uses events to trigger and communicate between decoupled services and is common in modern applications built with microservices.
- [Kafka Events](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/connecting-components/kafka-events.md): This page offers a detailed overview of the connecting components within the BDB Data Pipeline, specifically focusing on Kafka Events.
- [Data Sync Events](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/connecting-components/data-sync-events.md): This page offers a detailed overview of the connecting components within the BDB Data Pipeline, specifically focusing on Data Sync Events.
- [Resource Provisioning](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/resource-provisioning.md): This section provides an overview of the Configuration tab, which facilitates the customization and parameterization of each Pipeline component.
- [Pipeline Toolbar](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar.md): This section details the set of tools and controls available for interacting with a pipeline workflow.
- [Format Flowchart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar/format-flowchart.md): This page provides an overview of how to organize the components involved in the Pipeline workflow in their execution order.
- [Pipeline Component Configuration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar/pipeline-component-configuration.md): The Pipeline Component Configuration feature allows users to configure all components from a single page, streamlining the process and reducing time and effort.
- [Search Component in Pipelines](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar/search-component-in-pipelines.md): The Search Component in Pipeline option allows users to locate specific pipeline components quickly using keywords or filters.
- [Pipeline Testing Suit](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar/pipeline-testing-suit.md): The Pipeline Testing functionality page enables users to validate and verify the performance of each component within a pipeline using defined test cases.
- [Update Component Version](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar/update-component-version.md): This feature identifies outdated pipeline components and allows users to update them.
- [Failure Analysis](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar/failure-analysis.md): This page provides steps to identify and analyze the component failure details.
- [Log Panel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar/log-panel.md): This page details the various tabs within the Log Panel.
- [Pipeline Components](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components.md): This section describes various pipeline components in details.
- [AI Agents](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/ai-agents.md): Get information on the intelligent component of the pipeline to automate data ingestion and related processes.
- [Readers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers.md): Readers are a group of components that can read data from different DB and cloud storages in both invocation types i.e., Real-Time and Batch.
- [GCS Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/gcs-reader.md): The GCS Reader component is used to read data from Google Cloud Storage (GCS) buckets into pipeline workflows. It retrieves files or objects stored in GCS and makes them available for further process.
- [S3 Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/s3-reader.md): The S3 Reader component connects to Amazon S3 and reads objects from a specified S3 bucket for use in pipeline workflows. It authenticates using AWS credentials (Access Key ID and Secret Access Key) a
- [HDFS Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/hdfs-reader.md)
- [Cassandra Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/cassandra-reader.md): The Cassandra Reader is commonly used for operational analytics, real-time data integration, customer activity workflows, and ML feature extraction from NoSQL stores.
- [DB Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/db-reader.md)
- [ES Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/es-reader.md)
- [SFTP Stream Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/sftp-stream-reader.md)
- [SFTP Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/sftp-reader.md)
- [Mongo DB Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/mongo-db-reader.md)
- [MongoDB Reader Lite (PyMongo Reader)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/mongo-db-reader/mongodb-reader-lite-pymongo-reader.md)
- [MongoDB Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/mongo-db-reader/mongodb-reader.md)
- [Azure Blob Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/azure-blob-reader.md)
- [Azure Metadata Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/azure-metadata-reader.md)
- [ClickHouse Reader (Docker)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/clickhouse-reader-docker.md)
- [Sandbox Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/sandbox-reader.md)
- [Azure Blob Reader (Docker)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/azure-blob-reader-docker.md)
- [Big Query Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/big-query-reader.md)
- [Notification Subscriber](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/notification-subscriber.md): The Notification Subscriber is a reader component within the BDB Data Pipeline that enables pipelines to consume messages from external cloud-based notification and messaging services.
- [Pinot Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/pinot-reader.md): The Pinot Reader is typically used in scenarios where high-speed analytical queries need to be integrated with batch or streaming workflows running inside the BDB Platform.
- [Writers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers.md)
- [S3 Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/s3-writer.md)
- [DB Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/db-writer.md)
- [HDFS Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/hdfs-writer.md)
- [ES Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/es-writer.md)
- [Cassandra Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/cassandra-writer.md): The Cassandra Writer provides configurable connection options, batch settings, column mapping, and consistency controls to ensure reliable write operations into the target Cassandra table.
- [Video Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/video-writer.md)
- [Azure Cosmos DB Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/azure-cosmos-db-writer.md): This Writer is ideal for enterprise scenarios requiring high availability, global distribution, and operational analytics workloads.
- [Azure Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/azure-writer.md)
- [ClickHouse Writer (Docker)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/clickhouse-writer-docker.md)
- [Sandbox Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/sandbox-writer.md)
- [MongoDB Writers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/mongodb-writers.md)
- [MongoDB Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/mongodb-writers/mongodb-writer.md)
- [MongoDB Writer Lite (PyMongo Writer)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/mongodb-writers/mongodb-writer-lite-pymongo-writer.md)
- [Pinot Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/pinot-writer.md): The Pinot Writer is ideal for modern data applications requiring ultra-fast ingestion and real-time query responses.
- [GCS Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/gcs-writer.md): The GCS Writer is essential for teams using Google Cloud Platform (GCP) for large-scale storage, ingestion, and downstream processing.
- [Machine Learning](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/machine-learning.md): These components utilize machine learning algorithms and techniques to analyze and model the data.
- [DSLab Runner](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/machine-learning/dslab-runner.md)
- [AutoML Runner](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/machine-learning/automl-runner.md)
- [Consumers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers.md)
- [GCS Monitor](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/gcs-monitor.md)
- [Sqoop Executer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/sqoop-executer.md)
- [OPC UA](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/opc-ua.md)
- [SFTP Monitor](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/sftp-monitor.md)
- [MQTT Consumer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/mqtt-consumer.md)
- [Video Stream Consumer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/video-stream-consumer.md)
- [Eventhub Subscriber](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/eventhub-subscriber.md)
- [Twitter Scrapper](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/twitter-scrapper.md)
- [Mongo ChangeStream](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/mongo-changestream.md)
- [Rabbit MQ Consumer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/rabbit-mq-consumer.md)
- [AWS SNS Monitor](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/aws-sns-monitor.md)
- [Kafka Consumer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/kafka-consumer.md)
- [API Ingestion and Webhook Listener](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/api-ingestion-and-webhook-listener.md)
- [Producers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/producers.md)
- [WebSocket Producer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/producers/websocket-producer.md)
- [Eventhub Publisher](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/producers/eventhub-publisher.md)
- [EventGrid Producer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/producers/eventgrid-producer.md)
- [RabbitMQ Producer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/producers/rabbitmq-producer.md)
- [Kafka Producer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/producers/kafka-producer.md)
- [Synthetic Data Generator](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/producers/synthetic-data-generator.md)
- [Transformations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations.md)
- [SQL Component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/sql-component.md)
- [File Splitter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/file-splitter.md)
- [Rule Splitter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/rule-splitter.md)
- [Stored Producer Runner](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/stored-producer-runner.md)
- [Flatten JSON](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/flatten-json.md)
- [Pandas Query Component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/pandas-query-component.md)
- [Enrichment Component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/enrichment-component.md)
- [Mongo Aggregation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/mongo-aggregation.md)
- [Data Loss Protection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/data-loss-protection.md)
- [Data Preparation (Docker)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/data-preparation-docker.md)
- [REST API Component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/rest-api-component.md)
- [Schema Validator](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/schema-validator.md)
- [Athena Query Executer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/athena-query-executer.md)
- [Scripting](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scripting.md): The scripting section provides various components to facilitate users in writing their custom scripts.
- [Script Runner](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scripting/script-runner.md)
- [Python Script](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scripting/python-script.md)
- [Version-Controlled Scripts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scripting/python-script/version-controlled-scripts.md): This functionality helps to keep various versions of the Python scripts.
- [PySpark Script](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scripting/pyspark-script.md)
- [Scheduler](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scheduler.md): The Scheduler section manages the automated execution of tasks by coordinating the overall Scheduler engine with specific Job Triggers that define when each process runs.
- [Scheduler](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scheduler/scheduler.md)
- [Job Trigger](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scheduler/job-trigger.md): Job Triggers define the "when" of an operation, and schedules to automate task execution at specific intervals.
- [Alerts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/alerts.md)
- [Notification Publisher](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/alerts/notification-publisher.md): The Notification Publisher component can be added at any point in the pipeline to configure proactive notifications.
- [Alerts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/alerts/alerts.md)
- [Email Component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/alerts/email-component.md)
- [Custom Components](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/custom-components.md)
- [Jobs](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs.md)
- [Creating a New Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/creating-a-new-job.md): This section provides detailed information on the creation part of the Jobs to make your data processing faster.
- [Manage Jobs](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/manage-jobs.md): You can access the jobs created by you or shared to you from the Jobs page. You can view, update, and manage related actions for a job from this page.
- [Job Editor Page](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-editor-page.md): The Job Editor Page provides the user with all the necessary options and components to add a task and eventually create a Job workflow.
- [Job Types](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types.md): This section outlines the different types of jobs available.
- [Spark Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job.md): This section provides an overview of the distinct categories of task components that can be integrated into a Spark Job.
- [Readers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/readers.md): This section details the complete list of available Reader Task components.
- [HDFS Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/readers/hdfs-reader.md): This section describes the steps required to access and configure the Meta Information tab fields when using the HDFS Reader Task.
- [MongoDB Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/readers/mongodb-reader.md)
- [DB Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/readers/db-reader.md)
- [S3 Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/readers/s3-reader.md)
- [Azure Blob Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/readers/azure-blob-reader.md)
- [ES Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/readers/es-reader.md)
- [Sandbox Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/readers/sandbox-reader.md)
- [Athena Query Content](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/readers/athena-query-content.md)
- [Writers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/writers.md): All the available Writer Task components for a Job are explained in this section.
- [HDFS Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/writers/hdfs-writer.md)
- [Azure Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/writers/azure-writer.md)
- [DB Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/writers/db-writer.md)
- [ES Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/writers/es-writer.md)
- [S3 Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/writers/s3-writer.md)
- [Sandbox Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/writers/sandbox-writer.md)
- [MongoDB Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/writers/mongodb-writer.md)
- [Kafka Producer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/writers/kafka-producer.md)
- [Transformations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/spark-job/transformations.md)
- [PySpark Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/pyspark-job.md)
- [Python Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/python-job.md)
- [Python Job (On demand)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/python-job-on-demand.md)
- [Script Executer Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-types/script-executer-job.md)
- [Job Alerts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/job-alerts.md)
- [Register as Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/jobs/register-as-job.md)
- [Overview](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/overview.md)
- [Jobs](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/overview/jobs.md)
- [Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/overview/pipeline.md)
- [Best Practices](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-engineering/best-practices.md): Best Practices for Ingesting Real-Time Data and Optimizing Data Processing in a Data Lake
- [Data Science Lab](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab.md)
- [Overview](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/overview.md): Get an overview of the Data Science Lab module.
- [What is Data Science Lab?](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/overview/what-is-data-science-lab.md): Explore the collaborative hub for Data Scientists and understand the key concepts of this module.
- [Data Science User Workflow](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/overview/data-science-user-workflow.md)
- [Supported Environments](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/overview/supported-environments.md)
- [Getting Started](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/getting-started.md): This page outlines the steps to access the DSLab module from the platform homepage and the left side navigation panel of the Data Science Lab module.
- [Projects](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/projects.md): This section details the procedures for creating and managing data science projects.
- [Creating a New Project](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/projects/creating-a-new-project.md)
- [Git Integration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/projects/git-integration.md): Data Science Lab allows Git integration at the project creation level, such projects are termed as "Git Sync Project" .
- [Managing Projects](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/projects/managing-projects.md): This section provides a detailed overview of the various actions and operations that can be performed on a Data Science Lab project.
- [Workspace](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace.md): The Workspace is a placeholder to create and save various data science experiments inside the Data Science Lab modules.
- [Exploring Workspace](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/exploring-workspace.md)
- [Repo Folder Operations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/exploring-workspace/repo-folder-operations.md): The Repo folder is a default folder created under the Workspace tab. It opens by default while accessing the Workspace tab.
- [Repo Folder Operations for a Repo Sync Project](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/exploring-workspace/repo-folder-operations-for-a-repo-sync-project.md): A Repo Sync Project will have only a Repo folder allowing users create various Data Science experiments for the project.
- [Utils Folder](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/exploring-workspace/utils-folder.md): This section provides an overview of the attributive operations provided for the Utils folder.
- [Managing Utility Files](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/exploring-workspace/utils-folder/managing-utility-files.md): This page describes the various actions you can apply to utility scripts after you import them.
- [Accessing a Utility File inside a Notebook](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/exploring-workspace/utils-folder/accessing-a-utility-file-inside-a-notebook.md): Steps to access a Utility script inside a Notebook.
- [Files Operations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/exploring-workspace/files-operations.md): This section helps the user to understand the attributes provided to the file folder created inside a normal Data Science Lab project.
- [Create or Import Notebook](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/create-or-import-notebook.md): Users can create new notebooks, import existing notebooks, and push updates to Git repositories. This section covers how to add, import, and work with notebooks, as well as how to push files to Git.
- [Developing & Running Code in Notebooks](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/developing-and-running-code-in-notebooks.md): This section provides an overview of how to write and execute code within notebooks.
- [Develop Code using Code Assist](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/developing-and-running-code-in-notebooks/develop-code-using-code-assist.md): Unleash the power of Code Assist for faster and more accurate code development.
- [Review & Debug Code with Linter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/developing-and-running-code-in-notebooks/review-and-debug-code-with-linter.md): Avail instant debugging by screening your data science script through Linter.
- [Markdown Cells](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/developing-and-running-code-in-notebooks/markdown-cells.md): This page describes steps to use the text cells of the Data Science Notebook.
- [Manage Notebook](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/manage-notebook.md): This section explains the credited actions to a notebook within a data science lab project workspace.
- [Register & Publish Notebook](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/register-and-publish-notebook.md): Transform your notebook from a static document into a reusable, versioned, and shareable asset across modules.
- [Notebook Version Control](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/notebook-version-control.md): The Push into VCS & Pull from VCS functionality allows users to manage and maintain different versions of the same notebook at various stages of a project.
- [Collaboration & Sharing](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/collaboration-and-sharing.md): Share your data science notebooks across teams or users while controlling access levels.
- [Operations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/operations.md): This section describes the various operations available within a Data Science Project.
- [Data](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/operations/data.md): The Data option allows users to add data to their project from the Data Science Notebook infrastructure.
- [Data Management Actions](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/operations/data/data-management-actions.md)
- [Managing Secrets & Environment Variables](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/operations/managing-secrets-and-environment-variables.md): Use Environment Variables inside your notebook to save your confidential information from getting exposed.
- [Algorithms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/operations/algorithms.md): Get steps on how to do Algorithm Settings and Project level access to use Algorithms inside Notebook.​
- [Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/operations/transforms.md): Save and load models with transform script, register them or publish them as an API through DS Lab module.
- [Models](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/operations/models.md): This page offers step-by-step process on how to develop, train, save, and load a model inside the Notebook infrastructure.
- [Artifacts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/operations/artifacts.md)
- [Variable Explorer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/operations/variable-explorer.md)
- [Writers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/workspace/operations/writers.md)
- [Agentic Tools](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/agentic-tools.md): This section provides an overview of the Agentic Tools available within the Data Science Lab module. These tools enable users to build and manage autonomous AI systems.
- [Create an Agentic Tool](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/agentic-tools/create-an-agentic-tool.md)
- [Mapping an Agentic Tool within a Data Pipeline Workflow](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/agentic-tools/create-an-agentic-tool/mapping-an-agentic-tool-within-a-data-pipeline-workflow.md): This page provides step-by-step process to consume an Agentic Tool inside a Data Pipeline workflow.
- [Manage Agentic Tools](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/agentic-tools/manage-agentic-tools.md): This page outlines of the key steps for managing an agentic tool.
- [Models](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models.md): The Models tab includes various models created, saved, or imported using the Data Science Lab module. It broadly lists all the created and imported Data Science Models.
- [Accessing the Models Page](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/accessing-the-models-page.md): You can access the Models page by selecting Models from the left navigation panel within the Data Science Lab.
- [Filter Models List](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/filter-models-list.md)
- [Import a Model](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/import-a-model.md): External models can be imported into the Data Science Lab and experimented inside the Notebooks using the Import Model functionality.
- [Model Explainer Generator](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/model-explainer-generator.md): This functionality generates a model explainer dashboard to help users better interpret their models.
- [Model Explainer Dashboard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/model-explainer-dashboard.md)
- [Classification Model Explainer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/model-explainer-dashboard/classification-model-explainer.md)
- [Regression Model Explainer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/model-explainer-dashboard/regression-model-explainer.md)
- [Forecasting Model Explainer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/model-explainer-dashboard/forecasting-model-explainer.md)
- [Saving a Model](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/saving-a-model.md): This section aims to step down the process of creating, saving, and loading a Data Science model using the notebook infrastructure provided inside the Data Science Lab module.
- [Share a Model](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/share-a-model.md)
- [Register/ Unregister Model](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/register-unregister-model.md)
- [Consuming a Registered Model inside Data Pipeline Module](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/register-unregister-model/consuming-a-registered-model-inside-data-pipeline-module.md)
- [Register a Model as an API](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/register-a-model-as-an-api.md)
- [End-to-end Steps for Model Creation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/end-to-end-steps-for-model-creation.md): Get end-to-end model creation tutorials to get started. You can import these notebooks to your BDB Data Science Lab.
- [ML Model](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/end-to-end-steps-for-model-creation/ml-model.md): This page provides step-by-step process to train an ML model inside a Data Science notebook.
- [PyTorch Model](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/models/end-to-end-steps-for-model-creation/pytorch-model.md)
- [AutoML](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/automl.md): This documentation section focuses on the creation and management of AutoML models (experiments).
- [Creating AutoML Experiment](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/automl/creating-automl-experiment.md): Learn how to create an AutoML Experiment and explore your options for the next phase.
- [Manage AutoML Models](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/automl/manage-automl-models.md): Manage your AutoML Models.
- [Trash](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-science-lab/trash.md): The Trash page facilitates the users to find all your deleted projects. From here, you can either restore them or permanently delete them.
- [BDB Visualization](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization.md): This document serves as an introduction to the BDB Visualization modules, detailing their core functionalities and key features.
- [Dashboard Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer.md): Design stunning dashboards and visualizations effortlessly with the BDB Dashboard Designer, an intuitive and powerful tool for transforming your data into actionable insights.
- [Getting Started](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/getting-started.md): The BDB's Designer module is a web browser-based application used for building governed dashboards and designing analytics.
- [Overview of Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/overview-of-designer.md): This section aims to give an overview of the Dashboard Designer focusing on the two main screens that appear under the Designer module: Homepage and Designer Canvas.
- [Homepage](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/overview-of-designer/homepage.md)
- [Desinger Navigation Panel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/overview-of-designer/homepage/desinger-navigation-panel.md): This section explains steps for all the options in the left panel of the Designer Homepage.
- [Dashboard Canvas](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/overview-of-designer/dashboard-canvas.md)
- [Right side Menu Panel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/overview-of-designer/dashboard-canvas/right-side-menu-panel.md): This page introduces all the options available on the right-side menu of the Dashboard Canvas.
- [Canvas Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/overview-of-designer/dashboard-canvas/canvas-properties.md): The Canvas Properties helps users to configure properties for the entire dashboard.
- [Global Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/overview-of-designer/dashboard-canvas/canvas-properties/global-properties.md): This section explains the Global Properties from the Dashboard Properties.
- [Dashboard Themes](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/overview-of-designer/dashboard-canvas/canvas-properties/dashboard-themes.md): This page displays how to apply dashboard themes to a dashboard.
- [Context Menu Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/overview-of-designer/dashboard-canvas/context-menu-properties.md): This section explains the contextual properties for multiple components in a Dashboard.
- [Workspace](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/workspace.md): This section aims at covering all the related steps to a Workspace creation and maintenance.
- [Creating a New Workspace](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/workspace/creating-a-new-workspace.md): This section explains the steps on how to create a new Workspace in the Designer module.
- [Manage Workspace](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/workspace/manage-workspace.md): This section details the operations you can perform on a created workspace.
- [Dashboard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/dashboard.md): This section outlines the steps to create a new dashboard and manage it after it has been created within the Designer module.
- [Dashboard Creation: Basic Workflow](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/dashboard/dashboard-creation-basic-workflow.md): Creating a dashboard is a multi-step process: you'll start by adding a new dashboard, then connect to data, build and link charts, preview the layout, and save your work.
- [User Alert Notification](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/dashboard/user-alert-notification.md): User alerts notify collaborators when changes are made to a shared dashboard, preventing simultaneous edits from overwriting each other's work.
- [Manage Dashboard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/dashboard/manage-dashboard.md): This page provides an overview of the tools and operations available for managing dashboards, including creating, editing, and deleting them.
- [Open a Dashboard in Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/dashboard/manage-dashboard/open-a-dashboard-in-designer.md)
- [Publish a Dashboard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/dashboard/manage-dashboard/publish-a-dashboard.md): Get details about the various scenario to Publish a Dashboard.
- [Share a Dashboard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/dashboard/manage-dashboard/share-a-dashboard.md): The Share Dashboard option allows you to grant or revoke access to dashboards for specific users or groups, with the ability to exclude individuals as needed.
- [Dashboard Version Control](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/dashboard/manage-dashboard/dashboard-version-control.md): This section provides information on how to create and maintain various version of dashboards.
- [Action Menu](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/dashboard/manage-dashboard/action-menu.md): This page explains more actions associated to a dashboard.
- [Connecting to a Data Source](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source.md): This section explains how to access the various data connector options and step-by-step process to create a connection by using all the available data connectors.
- [Establishing a Data Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection.md): This section displays the steps involved in establishing various choices of Data Connectors available inside the Designer module.
- [CSV Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/csv-connection.md): Access the steps to develop a data connection based on the CSV file.
- [Excel Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/excel-connection.md): Access the steps to develop a data connection based on the CSV file.
- [Data Service Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/data-service-connection.md): Access the steps to develop a data connection based on the Data Service Connection.
- [Data Store Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/data-store-connection.md): Access the steps to develop a data connection based on the Data Store Connection.
- [Data Sheet Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/data-sheet-connection.md): Access the steps to develop a data connection based on the Data Sheet Connection.
- [Data Sheet Enhancements](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/data-sheet-connection/data-sheet-enhancements.md)
- [WebSocket Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/websocket-connection.md): Access the steps to develop a data connection based on the WebSocket Connection.
- [Merged Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/merged-connection.md): Access the steps to develop a data connection based on the Merged Connection.
- [Chart Gallery](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery.md)
- [Charts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts.md)
- [Area chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/area-chart.md)
- [Bar Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/bar-chart.md)
- [Bubble Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/bubble-chart.md)
- [Circumplex Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/circumplex-chart.md)
- [Column Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/column-chart.md)
- [Funnel Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/funnel-chart.md)
- [Histogram Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/histogram-chart.md)
- [Inverted Funnel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/inverted-funnel.md)
- [KPI Tile](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/kpi-tile.md)
- [Line Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/line-chart.md)
- [Map](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/map.md)
- [Mito Plot](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/mito-plot.md)
- [Mixed Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/mixed-chart.md)
- [Pie Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/pie-chart.md)
- [Project Timeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/project-timeline.md)
- [Pyramid Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/pyramid-chart.md)
- [Scatter Plot](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/scatter-plot.md)
- [Spark Line](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/spark-line.md)
- [Spider Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/spider-chart.md)
- [Waterfall Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/charts/waterfall-chart.md)
- [Grids](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/grids.md)
- [Data Grid](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/grids/data-grid.md)
- [Paging Grid](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/grids/paging-grid.md)
- [Data Sheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/grids/data-sheet.md)
- [Scorecard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/grids/scorecard.md)
- [Pivot Grid](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/grids/pivot-grid.md)
- [Filters](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/filters.md)
- [Checkbox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/filters/checkbox.md)
- [Combobox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/filters/combobox.md)
- [Hierarchical Combobox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/filters/hierarchical-combobox.md)
- [List](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/filters/list.md)
- [Radio Button](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/filters/radio-button.md)
- [Advanced Charts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts.md)
- [Benchmark Analysis](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/benchmark-analysis.md)
- [Box Plot](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/box-plot.md)
- [Candle Stick](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/candle-stick.md)
- [Chevron](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/chevron.md)
- [Data Search](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/data-search.md)
- [Decision Tree](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/decision-tree.md)
- [Group Bar](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/group-bar.md)
- [Group Column](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/group-column.md)
- [Heat Map](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/heat-map.md)
- [Sankey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/sankey.md)
- [Text Analyzer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/text-analyzer.md)
- [Time Series](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/time-series.md)
- [Decomposition](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/decomposition.md)
- [Knowledge Graph](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/knowledge-graph.md)
- [Treemap](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/treemap.md)
- [Trellis](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/trellis.md)
- [Word Cloud](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/word-cloud.md)
- [New Word Cloud](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/new-word-cloud.md)
- [Other Charts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts.md)
- [Box](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/box.md)
- [Bullet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/bullet.md)
- [Date Picker](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/date-picker.md)
- [Export](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/export.md)
- [Filter Chips](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/filter-chips.md)
- [Filter Saver](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/filter-saver.md)
- [Gauge](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/gauge.md)
- [Graphics](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/graphics.md)
- [Guided Tour](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/guided-tour.md)
- [H-Slider](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/h-slider.md)
- [Image](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/image.md)
- [Info Button](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/info-button.md)
- [Input Box](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/input-box.md)
- [Label](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/label.md)
- [Legend](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/legend.md)
- [Progress Pie](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/progress-pie.md)
- [Semi Gauge](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/semi-gauge.md)
- [Stepper](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/stepper.md)
- [SVG Image](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/svg-image.md)
- [Text Box](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/text-box.md)
- [Trend](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/trend.md)
- [URL Button](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/url-button.md)
- [V-Slider](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/v-slider.md)
- [Tab component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/tab-component.md)
- [Inputbox component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/inputbox-component.md)
- [Button component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/button-component.md)
- [Custom Charts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/custom-charts.md)
- [Export & Copy Paste Chart Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/export-and-copy-paste-chart-properties.md): Get details on how to use the Export & Copy Paste chart properties.
- [Exporting Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/export-and-copy-paste-chart-properties/exporting-chart.md): Export charts and their data from Dashboard Designer using built-in Export Options, a right-click Export context menu, or a plugin script. You can also export with number Formatters applied.
- [Copy Paste Chart Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/chart-gallery/export-and-copy-paste-chart-properties/copy-paste-chart-properties.md): Use Copy/Paste Properties to synchronize display settings across multiple charting components for a quick, visually consistent dashboard.
- [Dashboard Objects](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/dashboard-objects.md): Every component in the dashboard is considered an object. The Object browser (Manage Dashboard Components) exposes properties to lock, hide, delete, duplicate, and arrange components on the dashboard.
- [Key Configurations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/key-configurations.md)
- [Filtering the Data](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/key-configurations/filtering-the-data.md)
- [Drill Through](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/key-configurations/drill-through.md)
- [Drill Highlighter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/key-configurations/drill-through/drill-highlighter.md)
- [Dataset Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/key-configurations/dataset-properties.md): This page guides you through connecting your data source and then dragging fields to visualize the data values on a plot.
- [Indicators in Charts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/key-configurations/indicators-in-charts.md): Apply Indicators to highlight specific categories or values in a charting component. Indicators can change colors (and other styles, if supported) based on rules you define.
- [Tooltip (Default & Custom)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/key-configurations/tooltip-default-and-custom.md): Use the Tooltip property block (in the component property section) to control how tooltips appear for charting components.
- [Data Label](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/key-configurations/data-label.md): Configure Data Label settings to display or hide values on charting components in the Designer.
- [Geo Mapping](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/key-configurations/geo-mapping.md): This section displays how to map the Polygone Geometry type (and Line) with the Leaflet Map charting component in the Designer.
- [Language Mapping](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/key-configurations/language-mapping.md): This feature lets you translate titles, labels, and other descriptive text in your dashboards into multiple languages
- [Legend Mapping](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/key-configurations/legend-mapping.md): Map a Legend to a charting component so users can identify series/categories and (if supported) interact with the chart.
- [Alerts in Grids](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/key-configurations/alerts-in-grids.md): Configure Alerts in the Grid charting component to visually flag values that meet specific conditions.
- [Script Help Section](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/script-help-section.md): Use Script Help to quickly find examples and snippets for writing component- and dashboard-level scripts in Designer.
- [Navigate to Script Help Page](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/script-help-section/navigate-to-script-help-page.md): This section explains how to access the Script Help Page under within the Designer module.
- [How to use Scripts — Dynamic Visibility](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/script-help-section/how-to-use-scripts-dynamic-visibility.md): BDB scripting enables complex dashboards by offering component-level UI and data connection-level back-end control, requiring only basic scripting knowledge.
- [Examples of Scripting in Dashboard Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/script-help-section/examples-of-scripting-in-dashboard-designer.md): This section aims at describing some example of using the Scripting part within the Dashboard Designer module.
- [Defining Global Functions](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/script-help-section/examples-of-scripting-in-dashboard-designer/defining-global-functions.md)
- [Calculating and Passing Date Range for Dataset Filters](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/script-help-section/examples-of-scripting-in-dashboard-designer/calculating-and-passing-date-range-for-dataset-filters.md)
- [Configuring Data Service Loading in Dashboard Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/script-help-section/examples-of-scripting-in-dashboard-designer/configuring-data-service-loading-in-dashboard-designer.md)
- [Understanding changedItem in Dashboard Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/script-help-section/examples-of-scripting-in-dashboard-designer/understanding-changeditem-in-dashboard-designer.md)
- [Optimal Dataset Loading](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/script-help-section/examples-of-scripting-in-dashboard-designer/optimal-dataset-loading.md)
- [Best Practices](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/dashboard-designer/best-practices.md): Master the core principles for building functional, insightful dashboards. Focus on effective data visualization, layout, and performance to drive better decisions.
- [Self-Service Reports](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports.md)
- [Creating a Report](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/creating-a-report.md): This pare outlines the steps involved in the process to get an interactive report.
- [Accessing the Report Module](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/creating-a-report/accessing-the-report-module.md): Learn all the ways to open the Report module and launch the Create New Report flow from the BDB Platform homepage.
- [Create a New Report](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report.md): The Create a New Report page provides multiple ways to start building a report, either from existing data stores or by uploading new files.
- [Create a New Report with an Existing Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/create-a-new-report-with-an-existing-data-store.md): Learn how to create a report by selecting from previously created or shared data stores. This option is recommended when the dataset has already been prepared and validated.
- [Creating and Updating Instance](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/create-a-new-report-with-an-existing-data-store/creating-and-updating-instance.md): This section explains how to create and update an instance for a Data Store, including setting and refreshing Time to Live (TTL) limits.
- [Creating a new Report by uploading a File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/creating-a-new-report-by-uploading-a-file.md)
- [Create a New Report by Uploading a CSV File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/creating-a-new-report-by-uploading-a-file/create-a-new-report-by-uploading-a-csv-file.md): This page explains how to create a report by uploading a CSV file as a data source. Users can practice this functionality using a provided sample file.
- [Create a New Report by Uploading an Excel File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/creating-a-new-report-by-uploading-a-file/create-a-new-report-by-uploading-an-excel-file.md): This page explains how to create a report by uploading an Excel file as a data source. Users can practice this functionality using a provided sample file.
- [Creating a new Report with Data Preparation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/creating-a-new-report-with-data-preparation.md)
- [Data Preparation - Inside Report UI](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/creating-a-new-report-with-data-preparation/data-preparation-inside-report-ui.md): Learn how to create a new report by uploading a file and applying Data Preparation (Data Prep) steps directly in the Report UI before designing and saving views.
- [Data Preparation - from the Data Center](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/creating-a-new-report-with-data-preparation/data-preparation-from-the-data-center.md): Learn how to create a report from a Data Store that has been generated in the Data Center using a Data Sandbox file with applied Data Preparation steps.
- [Designing a View](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/creating-a-report/designing-a-view.md): Begin designing your new report by creating a View on the Design page or Design canvas.
- [Save Multiple Views](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/creating-a-report/save-multiple-views.md): Add and save multiple Views to build a comprehensive Report.
- [Designing Canvas](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/designing-canvas.md): This section explains the process of creating a View, familiarizing users with the various options available on the Design Canvas.
- [Dimension Profiling](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/designing-canvas/dimension-profiling.md): Quickly analyze and visualize summary statistics of a selected dimension using Dimension Profiling, then save the resulting chart as a View within your report.
- [View Measure Summary](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/designing-canvas/view-measure-summary.md): Configure and display a summary value for a selected measure directly on the Design canvas for the current View.
- [Customize Category Color](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/designing-canvas/customize-category-color.md): Use Category Colors to assign specific colors to categorical (dimension) values in a chart, improving readability and helping users quickly distinguish groups in a View.
- [Series Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/designing-canvas/series-properties.md): Use Series Properties to customize how a measure is displayed in your selected View.
- [Create Calculated Field](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/designing-canvas/create-calculated-field.md): Add a new calculated field to the selected Data Store from the Design page. Calculated fields can be created as a Formula (expression) or a Range (bucketization) and then used like any other field in
- [Create a Record Level Formula Field](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/designing-canvas/create-calculated-field/create-a-record-level-formula-field.md): Create a calculated field at the Record Level so the expression is evaluated per row in the selected Data Store. Record-level fields can be used like any other field in Views (filtering, grouping, cha
- [Create a Summary Level Formula Field](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/designing-canvas/create-calculated-field/create-a-summary-level-formula-field.md): A Summary Level Formula Field is a calculated field evaluated after aggregation (on grouped/aggregated results).
- [Order by & Limit](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/designing-canvas/order-by-and-limit.md): Use the Order By and Limit features to sort View data in ascending/descending order and restrict the number of displayed records.
- [Adding a Slicer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/designing-canvas/adding-a-slicer.md): A Slicer allows you to add an additional dimension to a View, segmenting the data into “slices.” This helps compare multiple categories side by side in the same visualization.
- [Chart Gallery](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery.md): This section explains each chart available in the Reports module, detailing their purpose and the properties you can adjust to customize them.
- [Mixed Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/mixed-chart.md): A Mixed chart combines column and line charts to visualize up to three data series at once. It's ideal for highlighting categorical differences and comparing related measures simultaneously.
- [Area Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/area-chart.md): An area chart is a line chart with the area below the line filled in, ideal for showing trends and the magnitude of change over time.
- [Bar Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/bar-chart.md): Bar charts are a simple and effective way to compare different categories of data using bars of varying lengths.
- [Bubble Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/bubble-chart.md): A bubble chart displays data across three or four dimensions, using the x and y axes for two, while the size and color of each bubble represent the remaining one or two.
- [Column Stack Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/column-stack-chart.md): A column chart uses vertical bars to compare individual data points, effectively highlighting the highs and lows within a dataset.
- [Line Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/line-chart.md): A line chart connects a series of data points to show trends over time.
- [Pie Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/pie-chart.md): A pie chart is the most common visualization for showing proportions and percentages, allowing users to quickly see the relative popularity of each category.
- [Scatter Plot Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/scatter-plot-chart.md): A scatter plot is a two-dimensional graph that uses dots to show the relationship between two different variables.
- [TreeMap Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/treemap-chart.md): A Treemap visualizes hierarchical data as a set of nested rectangles, where the size and color of each rectangle represent its value and sub-group.
- [Circumplex Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/circumplex-chart.md): A Circumplex Chart, a hybrid of a bar and pie chart, visualizes multivariate data by dividing it into equal-angled segments where each segment's area, determined by its radius, represents its value.
- [Pareto Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/pareto-chart.md): A Pareto Chart uses a column chart to display individual data points in descending order and a line chart to show the cumulative total, effectively identifying the categories with the greatest impact.
- [Semi Gauge Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/semi-gauge-chart.md): A Semi-gauge chart displays a single metric's value against a target, dynamically changing colors to show if the data is within, approaching, or exceeding a predefined range.
- [KPI Tile](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/kpi-tile.md): KPI Tiles provide at-a-glance visibility into critical business measures using labels, colors, and formatting to track performance.
- [KPI Comparative Tile](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/kpi-comparative-tile.md): An Extended KPI Tile enhances a standard KPI by adding a secondary value, trend analysis, and conditional rules to highlight relationships and changes between two metrics.
- [KPI Tile: Sparkline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/kpi-tile-sparkline.md): A Sparkline KPI chart displays both the current KPI value and its historical trend in a single, compact visualization.
- [Map Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/map-chart.md): A filled map uses colors or shading on a map to represent data distribution, making it easy to spot regional patterns and hot spots.
- [Data Grid](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/data-grid.md): A Data Grid allows users to customize and format datasets with features like column re-ordering and conditional formatting for a structured, readable presentation.
- [Metric Summary](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/metric-summary.md): A Metric Summary displays aggregated results of multiple dimensions and measures using intuitive formats like bullet indicators or progress bars to provide a quick, high-level performance snapshot.
- [Dissolution / Decomposition Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/dissolution-decomposition-chart.md): A decomposition chart is a powerful visualization for presenting data across dimensions hierarchically or sequentially.
- [Spider Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/spider-chart.md): Display multivariate data in the form of a three or more quantitative variables represented on axes starting from the same point.
- [Waterfall Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/waterfall-chart.md): A Waterfall chart is a data visualization that shows how a series of positive and negative changes affect an initial value, culminating in a final value.
- [Funnel Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/funnel-chart.md): A funnel chart visualizes the progressive reduction of data through sequential stages of a process, with the width of each section representing the quantity of a metric at that stage.
- [Inverted Funnel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/inverted-funnel.md)
- [Heatmap Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/heatmap-chart.md): A heatmap is a data visualization that represents the magnitude of a phenomenon in a two-dimensional space using a color-coded system.
- [Geo Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/geo-chart.md): A Geo chart is a map-based visualization that displays data across geographical regions using color intensity or markers to represent values and identify patterns.
- [Sankey Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/sankey-chart.md): A Sankey chart is a flow diagram that visualizes the magnitude of a flow from one set of values to another, where the width of the arrows is proportional to the flow quantity.
- [Candlestick Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/candlestick-chart.md): Candlestick charts are widely used in financial analysis to track price movements of securities, derivatives, or currencies.
- [Benchmark Analysis](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/chart-gallery/benchmark-analysis.md)
- [Report Page](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page.md): This section describes various options provided on the Report page to be applied on the saved Views.
- [Tab](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/tab.md): The Tab UI helps to add more details in tabular format to a Report.
- [Search](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/search.md)
- [Create a New ML View](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/create-a-new-ml-view.md)
- [Shared View](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/shared-view.md): This section provides steps to use shared View in a Report.
- [Live Refresh](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/live-refresh.md): This option will help the user to refresh the Report with latest data based on the saved WebSocket configuration.
- [Export](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/export.md): Export your self-service visualization report in a desired format to consume it the way you like.
- [Export Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/export-properties.md): The Export Properties option allows you to add a header and footer to a story when exporting it as a PDF.
- [Change Theme](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/change-theme.md)
- [Data Store Information](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/data-store-information.md): This page displays the information about the selected Data Stores in context to a report.
- [Options Assigned to a View](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view.md): This section of the documentation focus on the options provided to a View.
- [Analyse](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/analyse.md)
- [Timeline Play](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/analyse/timeline-play.md): Timeline Play projects data over the selected time period to identify the trends and data changes.
- [Data Drills](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/analyse/data-drills.md): This section aims to describe the available Data Drill options for a specific report view.
- [Drill Into](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/analyse/data-drills/drill-into.md)
- [Drill Through](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/analyse/data-drills/drill-through.md)
- [Edit](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/edit.md)
- [Duplicate](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/duplicate.md)
- [Remove](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/remove.md): This option allows users to remove a saved view from the report.
- [Applying Filters](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/applying-filters.md): The Reports module offers a variety of filters to customize your interactive visual report. These filters can be applied to a specific view or the entire report using a dimension, measure, or date d
- [View Specific Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/applying-filters/view-specific-filter.md): The View Filter icon provided on the Design canvas allows the user to filter a specific View based on the selected filter condition.
- [Dimension-based View Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/applying-filters/view-specific-filter/dimension-based-view-filter.md): This page explains steps for View Filter based on data Dimensions.
- [Measure-based View Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/applying-filters/view-specific-filter/measure-based-view-filter.md): This page explains steps for View Filter based on the Measures.
- [Date-based View Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/applying-filters/view-specific-filter/date-based-view-filter.md): A Date-based View Filter allows you to focus on specific data points and trends within a chosen time frame.
- [Global Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/applying-filters/global-filter.md): This page explains the Global Filter functionality available for the reports.
- [Exclude from the Global Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/applying-filters/exclude-from-the-global-filter.md): This page explains how to exclude a View from the global filter application.
- [Saving a Global Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/applying-filters/saving-a-global-filter.md)
- [Custom View Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/applying-filters/custom-view-filter.md)
- [LOV: Enabled vs Disabled Dimension Values](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/applying-filters/lov-enabled-vs-disabled-dimension-values.md): This page displays scenarios when List of Values (LOV) option is enabled or disabled for a Data Store.
- [Interactions](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/bdb-visualization/self-service-reports/interactions.md): The Interactions feature enhances the global filter, enabling users to filter multiple views in a report by making a selection in a single source view.
- [Migration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/migration.md)
- [Migrating a DS Lab Project](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/migration/migrating-a-ds-lab-project.md)
- [Migrating a DS Lab Script](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/migration/migrating-a-ds-lab-script.md)
- [Migrating a DS Lab Model via Git](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/migration/migrating-a-ds-lab-model-via-git.md)
- [Migrating an API Service Using Git](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/migration/migrating-an-api-service-using-git.md)
- [Migrating a Dashboard Using Git](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/migration/migrating-a-dashboard-using-git.md)
- [Migrating Reports Using Git](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/migration/migrating-reports-using-git.md)
- [Migrating a Pipeline Using Git](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/migration/migrating-a-pipeline-using-git.md)
- [Data Center](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center.md): The Data Center concept is a strategic design choice that provides a structured framework for managing the entire data lifecycle.
- [Data Object Architecture and Dependencies](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/data-object-architecture-and-dependencies.md): This page offers an overview of the Data Center module's features and functions, ensuring you can utilize its maximum capacity.
- [Access the Data Center](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/access-the-data-center.md): This page displays the steps to access the Data Center module under the BDB Platform.
- [My Connectors: Data Flow Initiation and Management](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management.md): This page is the crucial starting point for data flow, enabling users to connect to external data sources and build the necessary data objects for downstream analytics and consumption.
- [Data Connectors](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-connectors.md): You can connect to various data sources using the native connectors, which are pre-built and optimized for those specific data types.
- [Create a Data Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-connectors/create-a-data-connector.md): This page explains the step-by-step process to create a Data Connector under the BDB Platform.
- [Manage Data Connectors](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-connectors/manage-data-connectors.md): This page aims to explain all the options that are credited to a Data Connector on the List of Data Connectors.
- [Sharing a Data Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-connectors/manage-data-connectors/sharing-a-data-connector.md): This page details the procedure for sharing a Data Connector with specific users or user groups using the available access management tools.
- [Reconnecting to a Data Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-connectors/manage-data-connectors/reconnecting-to-a-data-connector.md): Reconnect instantly fixes Data Connector connectivity issues by simply reinitializing the session without altering the saved configuration.
- [Edit a Data Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-connectors/manage-data-connectors/edit-a-data-connector.md): You can re-open the Data Connector create page and modify the connector information using this option.
- [Delete a Data Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-connectors/manage-data-connectors/delete-a-data-connector.md): User can delete an existing data connector using this option.
- [Data Sheets](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets.md): The Data Sheet is a user-friendly, visually appealing spreadsheet that acts as a powerful database, eliminating data silos by making it easy to store and share structured data.
- [Creating a New Data Sheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/creating-a-new-data-sheet.md): This page guides you through the process of creating a new Data Sheet for storing and sharing structured data.
- [Managing a Data Sheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet.md): This section explains the options provided to a data sheet in the Data Sheet list.
- [Publishing a Data Sheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/publishing-a-data-sheet.md): Publish a Data Sheet to make it available on the Platform homepage for selected users or user groups.
- [Entering Data](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/publishing-a-data-sheet/entering-data.md): Add or bulk-paste records into a published Data Sheet. You can enter values manually row-by-row or copy & paste data directly from Excel into the sheet’s meta Structure.
- [Applying Filter (Published Data Sheet)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/publishing-a-data-sheet/applying-filter-published-data-sheet.md): Use Filters to quickly narrow rows in a published Data Sheet.
- [Deleting a Row (Published Data Sheet)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/publishing-a-data-sheet/deleting-a-row-published-data-sheet.md): Remove one or more rows from a published Data Sheet.
- [Refresh Data](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/refresh-data.md): Use Refresh Data to reload the contents of a sandbox-based Data Sheet from its source file in Data Sandbox.
- [Data Sheet Info](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/data-sheet-info.md): View key metadata for a Data Sheet—such as Name, Type, and (for sandbox-based sheets) Status—from a single dialog.
- [Editing a Data Sheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/editing-a-data-sheet.md): Update an existing Data Sheet from the Data Center—modify its name and column design (input types, lookups, restrictions), then save the changes.
- [Deleting a Data Sheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/deleting-a-data-sheet.md): Delete an existing Data Sheet from the Data Center.
- [Data Store Meta Data](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data.md): Data store metadata plays a crucial role in data governance, data integration, and data analysis processes. It allows users to quickly discover, understand, and utilize the data effectively.
- [Creating a New Data Store Metadata](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/creating-a-new-data-store-metadata.md): This guide explains how to create a Data Store Metadata, both by mapping to an existing collection and without mapping to a collection, in the Data Center module.
- [Manage Data Store Metadata](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/manage-data-store-metadata.md)
- [Metadata Store Info](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/manage-data-store-metadata/metadata-store-info.md): Access the Store Details of a Data Store Meta Data to view key metadata like name, source, total records, synonyms, and global search options.
- [Refresh Synonyms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/manage-data-store-metadata/refresh-synonyms.md): The Refresh Synonyms option updates the metadata tables to reflect the latest metadata changes, ensuring that associated synonyms are current.
- [Adding Synonyms to a Metadata](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/manage-data-store-metadata/adding-synonyms-to-a-metadata.md): The Add Synonyms to Metadata Store feature lets users associate alternative names with metadata fields, dimensions, and values for standardized terminology and intuitive querying, especially for NLP.
- [Sharing a Data Store Metadata](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/manage-data-store-metadata/sharing-a-data-store-metadata.md): The Sharing a Data Store Metadata feature allows users to share a Metadata Store with others or groups for collaborative access, enabling controlled viewing, editing, and permission management.
- [Editing a Data Store Metadata](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/manage-data-store-metadata/editing-a-data-store-metadata.md)
- [Deleting a Data Store Metadata](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/manage-data-store-metadata/deleting-a-data-store-metadata.md): The Delete Data Store Metadata feature permanently removes a specific Metadata Store; this irreversible action is used to clean up unneeded or outdated data.
- [Data Stores](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores.md): The BDB Data Store serves as a persistent data source, designed to store collections of data from various repositories, including databases, APIs, and Flat files.
- [Creating a New Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/creating-a-new-data-store.md): Create Data Stores from any supported Data Connector to materialize report-ready data for the Report Module and other consumers.
- [Managing a Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store.md): This page aims to describe the various options provided on the Data Stores List.
- [Data Store Info](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/data-store-info.md): View key details and controls for a selected Data Store from a single drawer.
- [Refresh Synonyms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/refresh-synonyms.md)
- [Add Synonyms to Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/add-synonyms-to-data-store.md): Enhance data searchability and consistency by adding synonyms for dimension values and defining units for measures within a Data Store.
- [Pull from VCS](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/pull-from-vcs.md): Pull from VCS allows you to retrieve a previous version of a Data Store from Git-based version control, giving you access to historical Data Store definitions and configurations.
- [Push to VCS](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/push-to-vcs.md): Push to VCS lets you version a Data Store by storing its latest state in a Git-based version control system, using a commit message to track changes and facilitate collaboration.
- [Refresh Data](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/refresh-data.md): Use Refresh Data to reload a Data Store and ensure it reflects the latest data from its source.
- [Sharing a Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/sharing-a-data-store.md): Control who can view, edit, or manage a Data Store by assigning permissions and managing user groups. Additionally, exclude or include specific users and revoke privileges as needed.
- [Editing a Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/editing-a-data-store.md): Edit an existing Data Store to update its configurations, fields, or query. The editing process may vary based on the Data Source category (e.g., RDBMS, API).
- [Deleting a Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/deleting-a-data-store.md): This guide explains how to delete a Data Store from the Data Store List.
- [Data Sandbox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox.md): The Data Sandbox file is the isolated data set used for conducting data science experiments and model development without impacting production systems.
- [Creating a New Data Sandbox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/creating-a-new-data-sandbox.md): Create and save a Data Sandbox to upload files for profiling, preparation, and downstream use in Data Stores, Data Sheets, and reports.
- [Managing a Data Sandbox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/managing-a-data-sandbox.md): This section explains the various options provided for a Data Sandbox file on the Data Sandbox List page.
- [Upload File Status](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/managing-a-data-sandbox/upload-file-status.md): Make a Data Sandbox file available to the Data Science Lab (DS Lab) and add it to a project’s datasets.
- [Reupload a Data Sandbox File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/managing-a-data-sandbox/reupload-a-data-sandbox-file.md): Use Reupload to replace the file behind an existing Data Sandbox entry—useful when an upload failed or the source file has been updated.
- [Preview a Data Sandbox File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/managing-a-data-sandbox/preview-a-data-sandbox-file.md): Quickly verify an uploaded file’s contents before preparing or using it downstream.
- [Deleting a Data Sandbox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/managing-a-data-sandbox/deleting-a-data-sandbox.md): Remove an existing Data Sandbox file from the Data Center.
- [Create Data Preparation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/create-data-preparation.md): Users can access the Data Preparation landing page using this option from the Data Sandbox list page.
- [Create Datastore](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/create-datastore.md): Users can also create a new Data Store on the top of a Data Sandbox using the Create Datastore option.
- [Create Datasheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/create-datasheet.md): Users can access the Create Data Sheet page using this option from the Data Sandbox list.
- [Data Sets](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sets.md): Get a structured collection of data that is organized and stored in a specific format for easy access, retrieval, and analysis.
- [Creating a New Data Set](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sets/creating-a-new-data-set.md): This section provides a detailed, step-by-step guide to creating a Data Set and explaining its related functions.
- [Manage Data Sets](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sets/manage-data-sets.md): This section displays credited options available for a Data Set.
- [Create Widget](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sets/create-widget.md)
- [Create Data as API](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sets/create-data-as-api.md): Securely share your data with external entities or integrate their data into third-party applications.
- [Create Data Preparation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-sets/create-data-preparation.md): Users can create Preparations on top of a Data Set using this option.
- [Function](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/function.md): This page outlines the steps to build a micro function that enhances your data agent's capabilities.
- [Feature Stores](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/feature-stores.md)
- [Data as API](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-as-api.md)
- [Data Preparation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation.md): Process, clean, and export your large data, preparing it for immediate analysis in a streamlined workflow.
- [Data Preparation Landing Page](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/data-preparation-landing-page.md): The Data Preparation Landing Page is the central workspace for exploring, transforming, and cleaning datasets using the Data Grid, transformations, Auto Prep, filtering, and data quality monitoring.
- [Profile Tab](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/profile-tab.md): The Profile Tab provides a data overview (patterns, values, occurrences) and auto-suggested transformations to quickly assess data quality and structure.
- [Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms.md): This section explains all available Transforms. Please note that the user interface (UI) for these Transforms is currently being updated.
- [Advanced Data Preparation Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/advanced-data-preparation-transforms.md): The Advanced Transforms section provides tools like Cluster & Edit, Expression Editor, Find Anomaly, and SQL Transform for complex data cleaning, enrichment, and anomaly detection.
- [Anonymization Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/anonymization-transforms.md): Anonymization transforms (Data Hashing, Masking, Variance, Hashing with Salt & Pepper) in Data Prep modify PII to secure sensitive data for analytics.
- [Columns Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/columns-transforms.md): The Column transforms section provides tools for modifying, cleaning, and manipulating data within individual columns of a dataset.
- [Conversions Transform](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/conversions-transform.md): The Conversions transforms allow users to change the data type of columns to ensure data consistency and compatibility for various processing needs.
- [Data Cleansing Transforms in Data Preparation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/data-cleansing-transforms-in-data-preparation.md): Data Cleansing transforms standardize and sanitize datasets by removing inconsistencies and duplicates, preparing data for analysis.
- [Dates Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/dates-transforms.md): The Dates category of transforms allows users to manipulate date and time columns for analysis, calculation, and conversion across time zones.
- [Function Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/function-transforms.md): Function Transforms apply a mathematical or programmatic function to data to convert its format or structure, making it ready for processing.
- [Integer Transform](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/integer-transform.md): The Integer Transform performs arithmetic operations (addition, subtraction, multiplication, division, modulus) on numeric columns to scale, calibrate, or normalize data.
- [Machine Learning (ML) Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/machine-learning-ml-transforms.md): The ML transforms provide operations commonly used in feature engineering, preprocessing, and time-series analysis for machine learning workflows.
- [Number Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/number-transforms.md)
- [String Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/string-transforms.md): The String transforms allow users to manipulate textual data, standardize formats, and enrich string columns for analysis or downstream processing.
- [Steps Tab](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/steps-tab.md): The Steps Tab tracks and manages all applied transformations in the Data Preparation workspace, ensuring reproducible and controlled data workflows.
- [Data Catalog](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/data-catalog.md): The Data Catalog empowers data users to have a holistic view of data, quickly discover data lineage that drives insightful decisions, and optimize their business value.
- [Accessing Data Catalog](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/data-catalog/accessing-data-catalog.md): This page provides content on how to access the Data Catalog option on the BDB Platform.
- [Search Bar](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/data-catalog/search-bar.md): The Search Bar in a Data Catalog is a critical user interface component that enables users to quickly locate and access data assets across the organization’s data ecosystem.
- [Filters](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/data-catalog/filters.md): The Filters option in the Data Catalog allows you to narrow down search results and quickly locate relevant data assets.
- [Data Catalog Overview](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/data-catalog/data-catalog-overview.md): Get an in-depth overview of a selected data asset, offering users comprehensive metadata and contextual information necessary for informed data usage and analysis.
- [Deleting a Catalog Entry](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/data-catalog/data-catalog-overview/deleting-a-catalog-entry.md): This page describes steps to delete a data catalog entry.
- [Data Quality](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-center/data-quality.md): Data Quality measures the accuracy, completeness, and consistency of your data making sure that all subsequent analytics, reports, and models built on the platform are reliable and trustworthy.
- [Data Agent](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-agent.md): The Data Agent is a groundbreaking GenAI feature of the BDB Platform, offering an interactive, user-friendly interface that enables precise discovery of hidden patterns and trends within your data.
- [Data Agent Creation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-agent/data-agent-creation.md): This section explains the step-by -step process to create a Data Agent.
- [Restricting Data by User Custom Fields](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-agent/restricting-data-by-user-custom-fields.md): This page describes the steps to restrict data using the user level custom fields.
- [Publishing a Data Agent](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-agent/publishing-a-data-agent.md): Users can publish the data agent to access the intuitive UI of the Data Agent on their homepage.
- [Data Agent at Work](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-agent/data-agent-at-work.md): This section illustrates how a Data Agent empowers users to perform in-depth analysis of business data, enabling rapid and decisive action based on insights derived.
- [Pin/ Unpin a Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-agent/data-agent-at-work/pin-unpin-a-chart.md): This page describes how to pin a chart from your conversation with a data agent to the interactive KPI Widgets section
- [Use Cases](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-agent/data-agent-at-work/use-cases.md): Refer to the below given YouTube videos to understand some actual scenarios on how the Data Agents function.
- [Deleting a Data Agent](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/data-agent/deleting-a-data-agent.md): This section provides steps on how to delete a data agent.
- [Administration & Security](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security.md)
- [Admin](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin.md): This section outlines the privileges and responsibilities of BDB Account Administrators. It also details the key settings and configurations that can be managed at a platform level.
- [Admin Panel Options](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options.md)
- [API Client Registration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/api-client-registration.md)
- [Audit Trail](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/audit-trail.md)
- [Authentication](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/authentication.md)
- [AD Configuration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/authentication/ad-configuration.md)
- [AWS Cognito Configuration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/authentication/aws-cognito-configuration.md)
- [CA PPM Configuration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/authentication/ca-ppm-configuration.md)
- [SSO Configuration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/authentication/sso-configuration.md)
- [Keycloak](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/authentication/sso-configuration/keycloak.md)
- [Azure/ OAuth](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/authentication/sso-configuration/azure-oauth.md)
- [Configurations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations.md)
- [API Base URL](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/api-base-url.md)
- [API Connectors Configurations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/api-connectors-configurations.md)
- [Bulk User Creation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/bulk-user-creation.md)
- [Core Ownership Transfer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/core-ownership-transfer.md)
- [Custom Field Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/custom-field-settings.md)
- [Data Connectors](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/data-connectors.md)
- [Data Lake Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/data-lake-settings.md)
- [Data Science Lab Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/data-science-lab-settings.md)
- [Data Sheet Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/data-sheet-settings.md)
- [Data Store Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/data-store-settings.md)
- [Email Server](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/email-server.md)
- [Execution Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/execution-settings.md)
- [Form Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/form-settings.md)
- [Gen AI Assist Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/gen-ai-assist-settings.md)
- [Keycloak Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/keycloak-settings.md)
- [Version Control](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/version-control.md)
- [Versioning](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/version-control/versioning.md)
- [Migration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/version-control/migration.md)
- [Open ID Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/open-id-settings.md)
- [Password](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/password.md)
- [Sandbox Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/sandbox-settings.md)
- [Secret Management](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/secret-management.md)
- [SSL Certificate Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/ssl-certificate-settings.md)
- [Workspace Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/configurations/workspace-settings.md)
- [Documentation Management](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/documentation-management.md)
- [Geo Spatial](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/geo-spatial.md)
- [Language Mapping](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/language-mapping.md)
- [Languages](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/language-mapping/languages.md)
- [Mapping Table (Language Text Mapping)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/language-mapping/mapping-table-language-text-mapping.md)
- [License](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/license.md)
- [Pipeline Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/pipeline-settings.md)
- [Resource Observability](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/resource-observability.md)
- [Schedule Monitor](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/schedule-monitor.md)
- [Server Monitor](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/server-monitor.md)
- [Session Manager](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/admin/admin-panel-options/session-manager.md)
- [Security](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security.md): You can create users/ user groups and assign various app permissions using this module.
- [Create User](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security/create-user.md): This section outlines the steps for creating a new user.
- [Restrict Data Access](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security/create-user/restrict-data-access.md): Data access can be restricted for users passing the custom fields value through security module.
- [Deleting a User](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security/create-user/deleting-a-user.md): This option helps to remove a user from the user list.
- [Reset Password](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security/create-user/reset-password.md): Users can also reset password of their selected user accounts from the Security module.
- [User Status](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security/create-user/user-status.md): The User Status page provides an overview of each user's current account status. Use this page to monitor user engagement and identify inactive accounts.
- [Blocking a User](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security/create-user/user-status/blocking-a-user.md): Active users can be blocked using this option.
- [Activating a User](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security/create-user/user-status/activating-a-user.md): This section explains the steps to Activate a user from the Blocked or Expired Users lists.
- [Create User Group](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security/create-user-group.md): Instructions for creating a new user group are provided in this section."
- [Blocking/Activating a User Group](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security/create-user-group/blocking-activating-a-user-group.md): This page outlines the process for blocking or activating a user group within the platform
- [Assigning Custom Fields to a User Group](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security/create-user-group/assigning-custom-fields-to-a-user-group.md): This page guides you through the process of assigning custom fields to a user.
- [Various User Roles](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security/various-user-roles.md): A platform user can be assigned one of three roles, depending on the access permissions granted.
- [Viewer Role](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security/various-user-roles/viewer-role.md): It is the default user role for all the new users until they are added to any user groups with required permissions to use the platform modules.
- [Admin Role](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security/various-user-roles/admin-role.md): This page explains the process of assigning the Admin role to a platform user.
- [Non-admin User Roles](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/administration-and-security/security/various-user-roles/non-admin-user-roles.md): This section focuses on user-defined roles of the platform users.
- [Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey.md)
- [Accessing the Survey Module](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/accessing-the-survey-module.md): This section describes how to access the Survey module and lists down the key task options
- [Creating a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/creating-a-survey.md): Get the steps to create a new Survey.
- [Survey Builder: Designing a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/survey-builder-designing-a-survey.md): This section explains steps to access the Survey Builder page.
- [Questions](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/survey-builder-designing-a-survey/questions.md): Learn how to manage questions in your survey, including adding, deleting, and selecting from the various question types.
- [Inserting a Question into a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/survey-builder-designing-a-survey/questions/inserting-a-question-into-a-survey.md): Users can add questions to a form or survey by selecting from available question types and configuring their properties.
- [Available Question Types](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/survey-builder-designing-a-survey/questions/available-question-types.md): This section outlines the all the questions types provided in the Survey module.
- [Deleting a Question](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/survey-builder-designing-a-survey/questions/deleting-a-question.md): Each added question type in the Survey gets the Delete icon to delete the question once you add it to the survey.
- [Page](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/survey-builder-designing-a-survey/page.md): This section provides all the needed information on the Survey pages.
- [Inserting a New Page](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/survey-builder-designing-a-survey/page/inserting-a-new-page.md): Users can add new pages to a Survey to organize questions into sections or steps, either before or after existing pages.
- [Editing an Existing Page in a Form](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/survey-builder-designing-a-survey/page/editing-an-existing-page-in-a-form.md): Users can edit the properties of an existing page to update its title, description, or logic, allowing for better organization and clarity within a form.
- [Survey Options](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/survey-builder-designing-a-survey/survey-options.md): The Survey Options feature allows users to customize the survey logo and edit key details on the Create Survey screen, providing a branded and informative experience for respondents.
- [Question Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/survey-builder-designing-a-survey/question-properties.md): All the details-related to the question properties are covered under this section.
- [Theme](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/survey-builder-designing-a-survey/theme.md): The Theme option in the Survey Builder lets users customize the survey's appearance.
- [Saving a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/survey-builder-designing-a-survey/saving-a-survey.md): The Save feature ensures that all changes and modifications made to a survey are recorded, preventing loss of data during survey creation or editing.
- [Publishing a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/publishing-a-survey.md): After designing a survey, users can publish it to collect responses via a Weblink or Email Collector. This section explains the steps to publish a survey and manage related options.
- [Survey Collectors](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/publishing-a-survey/survey-collectors.md): The Collector is a key component of the Publish Survey feature. It provides a unique online link or channel to distribute the survey to end-users and gather responses for analysis.
- [Creating & Managing Collectors](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/publishing-a-survey/creating-and-managing-collectors.md)
- [Creating Collectors](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/publishing-a-survey/creating-and-managing-collectors/creating-collectors.md): Explore the Survey collector creation process under this section.
- [Adding Recipients to an Email Collector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/publishing-a-survey/creating-and-managing-collectors/creating-collectors/adding-recipients-to-an-email-collector.md): Users can add recipients to an Email Collector to send surveys directly via email. Recipients can be added either from existing Contact Groups or manually.
- [Managing Collectors](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/publishing-a-survey/creating-and-managing-collectors/managing-collectors.md): This section describes the options provided to Survey Collectors after creation.
- [Analyzing Result for a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/analyzing-result-for-a-survey.md)
- [Creating a New View in Analyze Result](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/analyzing-result-for-a-survey/creating-a-new-view-in-analyze-result.md): Users can create and manage custom views within the Analyze Result tab to organize and filter data according to their requirements.
- [Filter Rule in Analyze Result](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/analyzing-result-for-a-survey/filter-rule-in-analyze-result.md): The Filter Rule feature allows administrators to customize analytic displays by applying filters to view specific responses within the Analyze Result tab.
- [Creating a Filter Rule](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/analyzing-result-for-a-survey/filter-rule-in-analyze-result/creating-a-filter-rule.md): This section explains steps to create a filter rule.
- [Filter Types](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/analyzing-result-for-a-survey/filter-rule-in-analyze-result/filter-types.md): he Filter options allow survey administrators to analyze specific subsets of survey responses by focusing on skipped questions or specific answers.
- [Response Filtering by Question Type](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/analyzing-result-for-a-survey/filter-rule-in-analyze-result/response-filtering-by-question-type.md): Administrators can apply filters to survey responses based on specific question types and answers. This functionality allows targeted analysis of user responses in the Analyze Result tab.
- [Show/Hide Rules for Page or Questions](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/analyzing-result-for-a-survey/show-hide-rules-for-page-or-questions.md): The Show/Hide Rules functionality allows survey administrators to control which pages or questions are displayed in the Analyze Result view. This helps focus analysis on specific questions or pages.
- [More Options](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options.md)
- [Previewing a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/previewing-a-survey.md): The Preview Survey feature allows users to view a survey exactly as respondents will see it. This ensures that questions, layout, and display settings are accurate before publishing.
- [Benchmark in Surveys](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/benchmark-in-surveys.md): Benchmark is a point of reference for evaluating performance/ level of quality. It is required to set goals, before using Benchmark as logic or point of reference to derive at the desired comparison.
- [Editing a Benchmark](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/benchmark-in-surveys/editing-a-benchmark.md)
- [Benchmark Goals](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/benchmark-in-surveys/benchmark-goals.md)
- [Questions for Benchmark Goals](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/benchmark-in-surveys/questions-for-benchmark-goals.md): This section describes how to insert a question to a Benchmark Goal, view it, and delete it.
- [Adding Questions to a Benchmark Goal](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/benchmark-in-surveys/questions-for-benchmark-goals/adding-questions-to-a-benchmark-goal.md): Each benchmark goal requires a set of questions to define and evaluate the objective. Administrators can assign questions and configure the evaluation rules for each goal.
- [Viewing a Goal Question in a Benchmark](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/benchmark-in-surveys/questions-for-benchmark-goals/viewing-a-goal-question-in-a-benchmark.md): Administrators can view all questions assigned to a benchmark goal, including details of associated question types, calculated values, and available actions.
- [Deleting a Goal Question from a Benchmark](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/benchmark-in-surveys/questions-for-benchmark-goals/deleting-a-goal-question-from-a-benchmark.md): Administrators can remove questions from a benchmark goal to ensure only relevant questions are used for evaluation.
- [Managing Datamart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/managing-datamart.md): Datamart option is provided to write the survey data inside a database. This function can help the user to store the collected responses of a survey and update them.
- [Creating a Datamart for a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/managing-datamart/creating-a-datamart-for-a-survey.md): Administrators can create a data mart to store and manage survey data efficiently. The Datamart allows survey responses to be written to a dedicated database for reporting and analysis.
- [Implementing Scheduler for Datamart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/managing-datamart/implementing-scheduler-for-datamart.md): The Datamart Scheduler allows administrators to automate data refreshes for survey Datamarts, ensuring the stored data remains up-to-date without manual intervention.
- [Other Options](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/managing-datamart/other-options.md): The Datamart Management options provide administrators with additional functionalities, including manual updates, editing, and refreshing data to ensure accurate and up-to-date survey data.
- [Copying a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/copying-a-survey.md): The Copy Survey feature allows users to duplicate an existing survey for reuse, enabling modifications and collection of new responses without affecting the original survey.
- [Survey Summary](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/survey-summary.md): The Survey Summary feature provides an overview of both the design elements and responses for a selected survey, allowing administrators to quickly assess survey configuration and participation.
- [Deleting a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/more-options/deleting-a-survey.md): The Delete Survey feature allows administrators to remove surveys that are no longer needed, ensuring the survey list remains organized and up-to-date.
- [Contacts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/contacts.md): The Contacts section acts as your address book for surveys, allowing you to organize recipients into groups for easy sharing.
- [Contact Group](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/contacts/contact-group.md): The Contact Group feature allows users to organize recipients for surveys or communications, enabling efficient management and distribution.
- [Create New Contacts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/contacts/create-new-contacts.md)
- [Creating New Contacts (Manually)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/contacts/create-new-contacts/creating-new-contacts-manually.md): Users can manually add contacts to a contact group for surveys or communications. This allows precise control over recipient details.
- [Uploading Contacts from a CSV File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/contacts/create-new-contacts/uploading-contacts-from-a-csv-file.md): Users can quickly add multiple contacts to a contact group by uploading a CSV file, ensuring efficient recipient management for surveys or communications.
- [Listing a Contact](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/contacts/listing-a-contact.md): The List Contacts feature allows users to view all contacts and perform actions such as editing or deleting individual entries.
- [Using Survey Template](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/survey/using-survey-template.md): The Survey Template feature allows users to reuse existing surveys and modify them as needed, providing efficiency in survey creation and consistency in design.
- [Forms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms.md): This section offers a detailed guide on how to use the Forms module.
- [Accessing the Forms Module](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/accessing-the-forms-module.md): The Forms module allows users to create, manage, and interact with forms within the platform. This section explains how to navigate to the Forms module from the Apps menu.
- [General Workflow for Forms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms.md)
- [Creating a Form](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms/creating-a-form.md): Users can create new forms in the Forms module by following these steps. This process allows the user to define a form’s title, instructions, and branding.
- [Listing a Form](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms/listing-a-form.md): The List Form page displays all forms that a user has created, saved, or copied. It serves as the main hub to access and manage existing forms.
- [Form Page Component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms/form-page-component.md)
- [Page Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms/page-settings.md): Access the Page Settings icon in the Form Header panel to quickly Rename, Duplicate, or Delete the selected form page, centralizing your page management controls.
- [Question](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms/question.md): The users get the Question Settings icon next to the Question Save icon for the selected question. This page aims to explain the Question Settings option.
- [Question Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms/question-properties.md): The Question Properties window allows users to configure various settings for individual questions in a form, including appearance, validation, conditional logic, and lookup options.
- [Form Preview](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms/form-preview.md): The Form Preview feature allows users to view and interact with a form before publishing, ensuring that the layout, questions, and functionality behave as expected across different devices.
- [Publishing a Form](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms/publishing-a-form.md)
- [Form Response](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms/form-response.md): Use the Form Response module to control submitted data: view, filter, edit, and export all responses instantly from a single table.
- [Filtering Form Responses](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms/filtering-form-responses.md): This page displays options to filter the form responses.
- [Form Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms/form-settings.md): The Form Settings page provides centralized control to configure your form's behavior, appearance, and user interaction. Here, you can adjust various properties, themes, and specific instructions.
- [Form Theme Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms/form-theme-settings.md): Get details about the various themes for a Form.
- [Form Instruction per User](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms/form-instruction-per-user.md)
- [Form Options](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/forms/general-workflow-for-forms/form-options.md): The Form Options menu provides actions to manage and modify forms, including editing, duplicating, previewing, publishing, deleting, and configuring settings.
- [Mobile App](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/mobile-app.md): This section provides detailed information on how to use the Mobile App.
- [How-To Guides & Tutorials](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials.md)
- [Resetting your BDB Password](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/resetting-your-bdb-password.md): Get steps to reset the password for your user account using the Forgot Password option.
- [How to do Force Login?](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/how-to-do-force-login.md): This functionality facilitates the user to kill active sessions while logging in after all the permitted sessions are consumed.
- [Data Center](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-center.md)
- [Create a Data Store Using an RDBMS Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-center/create-a-data-store-using-an-rdbms-connector.md): Create a Data Store on top of an RDBMS Data Connector and configure types, hierarchy, batching, restrictions, and (optionally) scheduling.
- [Create a Data Store using an API Data Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-center/create-a-data-store-using-an-api-data-connector.md)
- [Data Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-pipeline.md)
- [Build an Automated Machine Learning Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-pipeline/build-an-automated-machine-learning-pipeline.md): S3 data is extracted, transformed, and fed into a trained AutoML model for prediction before the output is loaded into a target database.
- [Automate Data Analysis using API, AutoML, & Database Integration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-pipeline/automate-data-analysis-using-api-automl-and-database-integration.md): To ingest hiring data from an API, prepare and analyze it using AutoML, and store the results in a database for actionable insights and reporting.
- [Real-Time Data Pipeline: API Ingestion to WebSocket Delivery](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-pipeline/real-time-data-pipeline-api-ingestion-to-websocket-delivery.md): To ingest, prepare, and deliver real-time hiring data simultaneously to a database for storage and a WebSocket for live consumption.
- [Kafka-to-ClickHouse Pipeline with Real-Time AutoML Inference](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-pipeline/kafka-to-clickhouse-pipeline-with-real-time-automl-inference.md): To process hiring data from Kafka, prepare and analyze it using AutoML, and store the results in ClickHouse for insights and easy access.
- [Data Science Lab](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-science-lab.md)
- [DS Model-to-Sandbox Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-science-lab/ds-model-to-sandbox-pipeline.md): To create a project in DS Lab, train and register a model, and build a pipeline that writes model outputs to the Data Sandbox for analysis and reuse.
- [Create Forecasting Models in DS Lab](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-science-lab/create-forecasting-models-in-ds-lab.md): Workflow 2 in DS Lab demonstrates the power and simplicity of creating and optimizing forecasting models by leveraging in-built algorithms, boilerplate code, and utility/artifact features.
- [Perform Churn Analysis Using DS Lab and Explainable AI](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-science-lab/perform-churn-analysis-using-ds-lab-and-explainable-ai.md): To perform churn analysis using DS Lab Notebooks, apply explainable AI for model insights, and integrate results into a pipeline and data sandbox to drive customer retention strategies.
- [Build and Deploy a Sentiment Analysis Model as an API in DS Lab](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-science-lab/build-and-deploy-a-sentiment-analysis-model-as-an-api-in-ds-lab.md): To build a Sentiment Analysis model in DS Lab, register it as an API through the Admin Module, and validate its response via API requests.
- [Leverage AutoML for Super Market Data](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/data-science-lab/leverage-automl-for-super-market-data.md): Harnessing AutoML for Supermarket data to apply preparation, classification, and regression for uncovering insights and driving data-driven decisions.
- [Dashboard Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/dashboard-designer.md)
- [Create an HR Recruitment Dashboard Using BDB Dashboard Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/dashboard-designer/create-an-hr-recruitment-dashboard-using-bdb-dashboard-designer.md): The HR Recruitment Dashboard provides a visual overview of the hiring funnel and key talent metrics for managers to monitor performance and guide staffing decisions.
- [Build a Real-Time Feedback Analysis Dashboard Using API Ingestion and WebSocket](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/dashboard-designer/build-a-real-time-feedback-analysis-dashboard-using-api-ingestion-and-websocket.md)
- [Create a Candidate Dashboard Using the Designer Plugin](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/dashboard-designer/create-a-candidate-dashboard-using-the-designer-plugin.md)
- [Create a Restaurant Analysis Dashboard Using the Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/dashboard-designer/create-a-restaurant-analysis-dashboard-using-the-designer.md): Create an interactive Restaurant Analysis Dashboard in BDB, connecting visualizations to parameterized queries and dynamic filters.
- [Create a Sales Analysis Dashboard Using a Custom Chart and Flat File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/dashboard-designer/create-a-sales-analysis-dashboard-using-a-custom-chart-and-flat-file.md): Creating a Sales Analysis Dashboard
- [Create a Sales Analysis Dashboard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/dashboard-designer/create-a-sales-analysis-dashboard.md): Visualize sales data using a Data Store as the primary input source.
- [Self-service Report](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/self-service-report.md)
- [Creating a Report by Uploading a CSV to Data Sandbox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/self-service-report/creating-a-report-by-uploading-a-csv-to-data-sandbox.md): Self Service Report from CSV
- [Building a Report with a ClickHouse Data Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/self-service-report/building-a-report-with-a-clickhouse-data-connector.md): Create a ClickHouse Data Connector, build a Data Store on top of it, and design a Business Report with advanced analytics using that Data Store.
- [How to Create a Self-Service Report from the Homepage (Excel/CSV)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/self-service-report/how-to-create-a-self-service-report-from-the-homepage-excel-csv.md)
- [Creating a Report by Uploading an Excel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/self-service-report/creating-a-report-by-uploading-an-excel.md): This guide demonstrates how to create a Self-Service Report and leverage its complete range of features — from dataset creation and preparation to advanced data visualization and analysis.
- [Report Creation based on a Data Connector-based Data Source as the Input Source](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/self-service-report/report-creation-based-on-a-data-connector-based-data-source-as-the-input-source.md): Creating Interactive Reports: Connecting Data Sources, Building Data Stores with SQL, Configuring LOVs, and Visualizing Data with Calculated Fields, NLP Search, and Live Refresh.
- [Create an Interacting Report Using an Excel File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/self-service-report/create-an-interacting-report-using-an-excel-file.md): Guide to dataset uploading, preparation, and building interactive visual reports using BDB's Data Preparation and Self-Service Report modules.
- [Create a Report based on multiple Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/self-service-report/create-a-report-based-on-multiple-data-store.md): Build reports on Retail Data in BDB using Datastores, standard KPIs, visualizations, and ML features (Segmentation, Anomaly Detection, and Forecasting).
- [Jobs](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/jobs.md)
- [Creating an ETL Spark Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/jobs/creating-an-etl-spark-job.md): This page contains end-to-end process for creating an ETL Job.
- [Creating a Python Data Processing Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/jobs/creating-a-python-data-processing-job.md): End-to-End Python Job Creation and Execution on BDB Decision Platform
- [Creating and Executing a PySpark Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/jobs/creating-and-executing-a-pyspark-job.md): End-to-End Creation and Execution of a PySpark Job on BDB Platform
- [On-Demand Python Job Execution using the BDB Platform](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/jobs/on-demand-python-job-execution-using-the-bdb-platform.md): On-Demand Python Job Execution using BDB Platform
- [Automating Python (On-Demand) Job Execution Using Job Trigger](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/jobs/automating-python-on-demand-job-execution-using-job-trigger.md)
- [Executing External Scripts Using the Script Executor Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/how-to-guides-and-tutorials/jobs/executing-external-scripts-using-the-script-executor-job.md)
- [Troubleshooting](https://docs.bdb.ai/bdb-user-documentation/platform-modules/10.0/troubleshooting.md): This section provides structured troubleshooting steps for common issues.
- [11.0](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0.md)
- [Home](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home.md): The platform homepage appears as a default screen after successful login. This section contains explanatory content for the various Platform modules.
- [Quick Search](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/quick-search.md): The Global Search feature empowers you to quickly find what you're looking for across the entire platform—from records and files to users and modules—using a single, intuitive search bar.
- [Quick Start Panel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/quick-start-panel.md): The Homepage provides a high-level panel to bypass complex menus and launch core workflows—like data integration or process scheduling—with a single click.
- [The Navigation Panel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/the-navigation-panel.md): The platform’s navigation menu provides streamlined access to all essential features needed to manage data operations within the ecosystem.
- [My Insights](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/my-insights.md): Users can customize their homepage by pinning their preferred views for quick, at-a-glance access.
- [Workspace based Access](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/workspace-based-access.md): Workspaces allow the platform to scale across large organizations while maintaining a clean and manageable data access model.
- [Apps Menu](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/apps-menu.md): The Apps menu lists all the BDB modules together with the platform core modules for the user to kick start the data analytics journey.
- [Notifications](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/notifications.md): This section describes the notifications feature available on the platform.
- [User Profile](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/user-profile.md): This page displays the user's profile information, including personal details, account settings, and preferences.
- [Attributed Document Options](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/attributed-document-options.md): The Document Options provide users with a centralized interface to manage and configure various platform-generated or uploaded documents.
- [Accessing Document Options](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/attributed-document-options/accessing-document-options.md): The Document Options are accessible by using right click on various platform documents.
- [Options Assigned to a Folder](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/attributed-document-options/options-assigned-to-a-folder.md): This page focuses on the available options and actions assigned to a folder, based on its location and the user's access level.
- [Options Assigned to a Link URL](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/attributed-document-options/options-assigned-to-a-link-url.md): This page focuses on the available options and actions assigned to a link URL, based on its location and the user's access level.
- [Options Assigned to a Report](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/attributed-document-options/options-assigned-to-a-report.md): This page focuses on the available options and actions assigned to a Report based on its location and the user's access level.
- [Options Assigned to a Published Dashboard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/attributed-document-options/options-assigned-to-a-published-dashboard.md): This page focuses on the available options and actions assigned to a published dashboard based on its location and the user's access level.
- [Options Assigned to a Published Form](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/attributed-document-options/options-assigned-to-a-published-form.md): This page focuses on the available options and actions assigned to a published form based on its location and the user's access level.
- [Options Assigned to a Published Data Sheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/attributed-document-options/options-assigned-to-a-published-data-sheet.md): This page focuses on the available options and actions assigned to a published data sheet based on its location and the user's access level.
- [Options Assigned to a Published Data Agent](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/attributed-document-options/options-assigned-to-a-published-data-agent.md): This page focuses on the available options and actions assigned to a published data agent based on its location and the user's access level.
- [Options Assigned to a Published Data App](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/home/attributed-document-options/options-assigned-to-a-published-data-app.md): This page focuses on the available options and actions assigned to a published data agent based on its location and the user's access level.
- [Data Engineering](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering.md): Data Engineering is the discipline focused on creating and maintaining the robust architecture that allows data to be collected, stored, and accessed for analysis.
- [Concepts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/concepts.md)
- [Data Pipelines](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines.md)
- [Creating a New Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/creating-a-new-pipeline.md): This section outlines the steps-by-step process for a Pipeline creation.
- [Manage Pipelines](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/manage-pipelines.md): You can access the pipelines created by you or shared to you from the Pipelines page. You can view, update, and manage related actions for a pipeline from this page.
- [Pipeline Actions](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-actions.md): This section outlines the pipeline actions in depth.
- [Activate & Deactivate Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-actions/activate-and-deactivate-pipeline.md): This section outlines the steps to activate and deactivate a pipeline from the Pipelines list page within the Data Engineering module.
- [View Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-actions/view-pipeline.md): This section focuses on how to access the workflow editor view of the selected pipeline.
- [Share Pipeline with Entitlement](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-actions/share-pipeline-with-entitlement.md): This section aims at describing the behaviour of a shared pipeline when used with an entitlement.
- [Edit Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-actions/edit-pipeline.md): The Edit Pipeline page allows users to update pipeline configurations, including name, description, resource allocation, and scheduling settings.
- [Pipeline Monitoring](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-actions/pipeline-monitoring.md)
- [Pull & Push Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-actions/pull-and-push-pipeline.md): This section details the procedures for migrating pipelines and managing their versions within the Version Control System (VCS).
- [Delete Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-actions/delete-pipeline.md): This section outlines the steps to remove the selected pipeline.
- [Pipeline Editor](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor.md): The Editor page of the Pipeline module serves as the central canvas for building and managing data flows.
- [Connecting Components](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/connecting-components.md): An event-driven architecture uses events to trigger and communicate between decoupled services and is common in modern applications built with microservices.
- [Kafka Events](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/connecting-components/kafka-events.md): This page offers a detailed overview of the connecting components within the BDB Data Pipeline, specifically focusing on Kafka Events.
- [Data Sync Events](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/connecting-components/data-sync-events.md): This page offers a detailed overview of the connecting components within the BDB Data Pipeline, specifically focusing on Data Sync Events.
- [Resource Provisioning](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/resource-provisioning.md): This section provides an overview of the Configuration tab, which facilitates the customization and parameterization of each Pipeline component.
- [Pipeline Toolbar](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar.md): This section details the set of tools and controls available for interacting with a pipeline workflow.
- [Format Flowchart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar/format-flowchart.md): This page provides an overview of how to organize the components involved in the Pipeline workflow in their execution order.
- [Pipeline Component Configuration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar/pipeline-component-configuration.md): The Pipeline Component Configuration feature allows users to configure all components from a single page, streamlining the process and reducing time and effort.
- [Search Component in Pipelines](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar/search-component-in-pipelines.md): The Search Component in Pipeline option allows users to locate specific pipeline components quickly using keywords or filters.
- [Pipeline Testing Suit](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar/pipeline-testing-suit.md): The Pipeline Testing functionality page enables users to validate and verify the performance of each component within a pipeline using defined test cases.
- [Update Component Version](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar/update-component-version.md): This feature identifies outdated pipeline components and allows users to update them.
- [Failure Analysis](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar/failure-analysis.md): This page provides steps to identify and analyze the component failure details.
- [Log Panel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-toolbar/log-panel.md): This page details the various tabs within the Log Panel.
- [Pipeline Components](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components.md): This section describes various pipeline components in details.
- [AI Agents](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/ai-agents.md): Get information on the intelligent component of the pipeline to automate data ingestion and related processes.
- [Readers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers.md): Readers are a group of components that can read data from different DB and cloud storages in both invocation types i.e., Real-Time and Batch.
- [GCS Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/gcs-reader.md): The GCS Reader component is used to read data from Google Cloud Storage (GCS) buckets into pipeline workflows. It retrieves files or objects stored in GCS and makes them available for further process.
- [S3 Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/s3-reader.md): The S3 Reader component connects to Amazon S3 and reads objects from a specified S3 bucket for use in pipeline workflows. It authenticates using AWS credentials (Access Key ID and Secret Access Key) a
- [HDFS Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/hdfs-reader.md)
- [Cassandra Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/cassandra-reader.md): The Cassandra Reader is commonly used for operational analytics, real-time data integration, customer activity workflows, and ML feature extraction from NoSQL stores.
- [DB Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/db-reader.md)
- [ES Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/es-reader.md)
- [SFTP Stream Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/sftp-stream-reader.md)
- [SFTP Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/sftp-reader.md)
- [Mongo DB Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/mongo-db-reader.md)
- [MongoDB Reader Lite (PyMongo Reader)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/mongo-db-reader/mongodb-reader-lite-pymongo-reader.md)
- [MongoDB Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/mongo-db-reader/mongodb-reader.md)
- [Azure Blob Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/azure-blob-reader.md)
- [Azure Metadata Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/azure-metadata-reader.md)
- [ClickHouse Reader (Docker)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/clickhouse-reader-docker.md)
- [Sandbox Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/sandbox-reader.md)
- [Azure Blob Reader (Docker)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/azure-blob-reader-docker.md)
- [Big Query Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/big-query-reader.md)
- [Notification Subscriber](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/notification-subscriber.md): The Notification Subscriber is a reader component within the BDB Data Pipeline that enables pipelines to consume messages from external cloud-based notification and messaging services.
- [Pinot Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/pinot-reader.md): The Pinot Reader is typically used in scenarios where high-speed analytical queries need to be integrated with batch or streaming workflows running inside the BDB Platform.
- [Data Lakehouse Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/readers/data-lakehouse-reader.md)
- [Writers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers.md)
- [S3 Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/s3-writer.md)
- [DB Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/db-writer.md)
- [HDFS Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/hdfs-writer.md)
- [ES Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/es-writer.md)
- [Cassandra Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/cassandra-writer.md): The Cassandra Writer provides configurable connection options, batch settings, column mapping, and consistency controls to ensure reliable write operations into the target Cassandra table.
- [Video Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/video-writer.md)
- [Azure Cosmos DB Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/azure-cosmos-db-writer.md): This Writer is ideal for enterprise scenarios requiring high availability, global distribution, and operational analytics workloads.
- [Azure Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/azure-writer.md)
- [ClickHouse Writer (Docker)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/clickhouse-writer-docker.md)
- [Sandbox Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/sandbox-writer.md)
- [MongoDB Writers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/mongodb-writers.md)
- [MongoDB Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/mongodb-writers/mongodb-writer.md)
- [MongoDB Writer Lite (PyMongo Writer)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/mongodb-writers/mongodb-writer-lite-pymongo-writer.md)
- [Pinot Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/pinot-writer.md): The Pinot Writer is ideal for modern data applications requiring ultra-fast ingestion and real-time query responses.
- [GCS Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/gcs-writer.md): The GCS Writer is essential for teams using Google Cloud Platform (GCP) for large-scale storage, ingestion, and downstream processing.
- [Data Lakehouse Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/writers/data-lakehouse-writer.md)
- [Machine Learning](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/machine-learning.md): These components utilize machine learning algorithms and techniques to analyze and model the data.
- [DSLab Runner](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/machine-learning/dslab-runner.md)
- [AutoML Runner](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/machine-learning/automl-runner.md)
- [Consumers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers.md)
- [GCS Monitor](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/gcs-monitor.md)
- [Sqoop Executer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/sqoop-executer.md)
- [OPC UA](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/opc-ua.md)
- [SFTP Monitor](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/sftp-monitor.md)
- [MQTT Consumer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/mqtt-consumer.md)
- [Video Stream Consumer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/video-stream-consumer.md)
- [Eventhub Subscriber](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/eventhub-subscriber.md)
- [Twitter Scrapper](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/twitter-scrapper.md)
- [Mongo ChangeStream](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/mongo-changestream.md)
- [Rabbit MQ Consumer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/rabbit-mq-consumer.md)
- [AWS SNS Monitor](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/aws-sns-monitor.md)
- [Kafka Consumer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/kafka-consumer.md)
- [API Ingestion and Webhook Listener](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/consumers/api-ingestion-and-webhook-listener.md)
- [Producers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/producers.md)
- [WebSocket Producer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/producers/websocket-producer.md)
- [Eventhub Publisher](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/producers/eventhub-publisher.md)
- [EventGrid Producer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/producers/eventgrid-producer.md)
- [RabbitMQ Producer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/producers/rabbitmq-producer.md)
- [Kafka Producer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/producers/kafka-producer.md)
- [Synthetic Data Generator](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/producers/synthetic-data-generator.md)
- [Transformations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations.md)
- [SQL Component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/sql-component.md)
- [File Splitter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/file-splitter.md)
- [Rule Splitter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/rule-splitter.md)
- [Stored Producer Runner](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/stored-producer-runner.md)
- [Flatten JSON](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/flatten-json.md)
- [Pandas Query Component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/pandas-query-component.md)
- [Enrichment Component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/enrichment-component.md)
- [Mongo Aggregation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/mongo-aggregation.md)
- [Data Loss Protection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/data-loss-protection.md)
- [Data Preparation (Docker)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/data-preparation-docker.md)
- [REST API Component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/rest-api-component.md)
- [Schema Validator (Spark)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/schema-validator-spark.md)
- [Athena Query Executer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/athena-query-executer.md)
- [Schema Validator (Docker)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/transformations/schema-validator-docker.md)
- [Scripting](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scripting.md): The scripting section provides various components to facilitate users in writing their custom scripts.
- [Script Runner](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scripting/script-runner.md)
- [Python Script](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scripting/python-script.md)
- [Version-Controlled Scripts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scripting/python-script/version-controlled-scripts.md): This functionality helps to keep various versions of the Python scripts.
- [PySpark Script](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scripting/pyspark-script.md)
- [Scheduler](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scheduler.md): The Scheduler section manages the automated execution of tasks by coordinating the overall Scheduler engine with specific Job Triggers that define when each process runs.
- [Scheduler](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scheduler/scheduler.md)
- [Trigger Component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/scheduler/trigger-component.md)
- [Alerts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/alerts.md)
- [Notification Publisher](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/alerts/notification-publisher.md): The Notification Publisher component can be added at any point in the pipeline to configure proactive notifications.
- [Alerts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/alerts/alerts.md)
- [Email Component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/alerts/email-component.md)
- [Custom Components](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components/custom-components.md)
- [Offset Mapping](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/offset-mapping.md): This section of the document focuses on the offset mapping feature provided for the Data Pipelines.
- [Jobs](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs.md)
- [Creating a New Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/creating-a-new-job.md): This section provides detailed information on the creation part of the Jobs to make your data processing faster.
- [Manage Jobs](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/manage-jobs.md): You can access the jobs created by you or shared to you from the Jobs page. You can view, update, and manage related actions for a job from this page.
- [Job Editor Page](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-editor-page.md): The Job Editor Page provides the user with all the necessary options and components to add a task and eventually create a Job workflow.
- [Job Types](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types.md): This section outlines the different types of jobs available.
- [Spark Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job.md): This section provides an overview of the distinct categories of task components that can be integrated into a Spark Job.
- [Readers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/readers.md): This section details the complete list of available Reader Task components.
- [HDFS Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/readers/hdfs-reader.md): This section describes the steps required to access and configure the Meta Information tab fields when using the HDFS Reader Task.
- [MongoDB Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/readers/mongodb-reader.md)
- [DB Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/readers/db-reader.md)
- [S3 Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/readers/s3-reader.md)
- [Azure Blob Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/readers/azure-blob-reader.md)
- [ES Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/readers/es-reader.md)
- [Sandbox Reader](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/readers/sandbox-reader.md)
- [Athena Query Content](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/readers/athena-query-content.md)
- [Writers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/writers.md): All the available Writer Task components for a Job are explained in this section.
- [HDFS Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/writers/hdfs-writer.md)
- [Azure Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/writers/azure-writer.md)
- [DB Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/writers/db-writer.md)
- [ES Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/writers/es-writer.md)
- [S3 Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/writers/s3-writer.md)
- [Sandbox Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/writers/sandbox-writer.md)
- [MongoDB Writer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/writers/mongodb-writer.md)
- [Kafka Producer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/writers/kafka-producer.md)
- [Transformations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/spark-job/transformations.md)
- [PySpark Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/pyspark-job.md)
- [Python Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/python-job.md)
- [Python Job (On demand)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/python-job-on-demand.md)
- [Script Executer Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/script-executer-job.md)
- [Ray Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-types/ray-job.md): The Ray Job functionality enables high-performance, distributed execution of Python-native, compute-intensive workloads across the BDB Platform's multi-node architecture.
- [Job Alerts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/job-alerts.md)
- [Register as Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/jobs/register-as-job.md)
- [Overview](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/overview.md)
- [Jobs](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/overview/jobs.md)
- [Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/overview/pipeline.md)
- [Best Practices](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/best-practices.md): Best Practices for Ingesting Real-Time Data and Optimizing Data Processing in a Data Lake
- [Data Science Lab](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab.md)
- [Overview](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/overview.md): Get an overview of the Data Science Lab module.
- [What is Data Science Lab?](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/overview/what-is-data-science-lab.md): Explore the collaborative hub for Data Scientists and understand the key concepts of this module.
- [Data Science User Workflow](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/overview/data-science-user-workflow.md)
- [Supported Environments](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/overview/supported-environments.md)
- [Getting Started](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/getting-started.md): This page outlines the steps to access the DSLab module from the platform homepage and the left side navigation panel of the Data Science Lab module.
- [Projects](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/projects.md): This section details the procedures for creating and managing data science projects.
- [Creating a New Project](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/projects/creating-a-new-project.md)
- [Git Integration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/projects/git-integration.md): Data Science Lab allows Git integration at the project creation level, such projects are termed as "Git Sync Project" .
- [Managing Projects](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/projects/managing-projects.md): This section provides a detailed overview of the various actions and operations that can be performed on a Data Science Lab project.
- [Workspace](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace.md): The Workspace is a placeholder to create and save various data science experiments inside the Data Science Lab modules.
- [Exploring Workspace](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/exploring-workspace.md)
- [Repo Folder Operations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/exploring-workspace/repo-folder-operations.md): The Repo folder is a default folder created under the Workspace tab. It opens by default while accessing the Workspace tab.
- [Repo Folder Operations for a Repo Sync Project](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/exploring-workspace/repo-folder-operations-for-a-repo-sync-project.md): A Repo Sync Project will have only a Repo folder allowing users create various Data Science experiments for the project.
- [Utils Folder](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/exploring-workspace/utils-folder.md): This section provides an overview of the attributive operations provided for the Utils folder.
- [Managing Utility Files](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/exploring-workspace/utils-folder/managing-utility-files.md): This page describes the various actions you can apply to utility scripts after you import them.
- [Accessing a Utility File inside a Notebook](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/exploring-workspace/utils-folder/accessing-a-utility-file-inside-a-notebook.md): Steps to access a Utility script inside a Notebook.
- [Files Operations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/exploring-workspace/files-operations.md): This section helps the user to understand the attributes provided to the file folder created inside a normal Data Science Lab project.
- [Create or Import Notebook](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/create-or-import-notebook.md): Users can create new notebooks, import existing notebooks, and push updates to Git repositories. This section covers how to add, import, and work with notebooks, as well as how to push files to Git.
- [Developing & Running Code in Notebooks](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/developing-and-running-code-in-notebooks.md): This section provides an overview of how to write and execute code within notebooks.
- [Develop Code using Code Assist](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/developing-and-running-code-in-notebooks/develop-code-using-code-assist.md): Unleash the power of Code Assist for faster and more accurate code development.
- [Review & Debug Code with Linter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/developing-and-running-code-in-notebooks/review-and-debug-code-with-linter.md): Avail instant debugging by screening your data science script through Linter.
- [Markdown Cells](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/developing-and-running-code-in-notebooks/markdown-cells.md): This page describes steps to use the text cells of the Data Science Notebook.
- [Manage Notebook](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/manage-notebook.md): This section explains the credited actions to a notebook within a data science lab project workspace.
- [Register & Publish Notebook](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/register-and-publish-notebook.md): Transform your notebook from a static document into a reusable, versioned, and shareable asset across modules.
- [Notebook Version Control](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/notebook-version-control.md): The Push into VCS & Pull from VCS functionality allows users to manage and maintain different versions of the same notebook at various stages of a project.
- [Collaboration & Sharing](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/collaboration-and-sharing.md): Share your data science notebooks across teams or users while controlling access levels.
- [Operations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/operations.md): This section describes the various operations available within a Data Science Project.
- [Data](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/operations/data.md): The Data option allows users to add data to their project from the Data Science Notebook infrastructure.
- [Data Management Actions](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/operations/data/data-management-actions.md)
- [Managing Secrets & Environment Variables](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/operations/managing-secrets-and-environment-variables.md): Use Environment Variables inside your notebook to save your confidential information from getting exposed.
- [Algorithms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/operations/algorithms.md): Get steps on how to do Algorithm Settings and Project level access to use Algorithms inside Notebook.​
- [Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/operations/transforms.md): Save and load models with transform script, register them or publish them as an API through DS Lab module.
- [Models](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/operations/models.md): This page offers step-by-step process on how to develop, train, save, and load a model inside the Notebook infrastructure.
- [Artifacts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/operations/artifacts.md)
- [Variable Explorer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/operations/variable-explorer.md)
- [Writers](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/workspace/operations/writers.md)
- [Agentic Tools](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/agentic-tools.md): This section provides an overview of the Agentic Tools available within the Data Science Lab module. These tools enable users to build and manage autonomous AI systems.
- [Create an Agentic Tool](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/agentic-tools/create-an-agentic-tool.md)
- [Mapping an Agentic Tool within a Data Pipeline Workflow](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/agentic-tools/create-an-agentic-tool/mapping-an-agentic-tool-within-a-data-pipeline-workflow.md): This page provides step-by-step process to consume an Agentic Tool inside a Data Pipeline workflow.
- [Manage Agentic Tools](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/agentic-tools/manage-agentic-tools.md): This page outlines of the key steps for managing an agentic tool.
- [Models](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models.md): The Models tab includes various models created, saved, or imported using the Data Science Lab module. It broadly lists all the created and imported Data Science Models.
- [Accessing the Models Page](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/accessing-the-models-page.md): You can access the Models page by selecting Models from the left navigation panel within the Data Science Lab.
- [Filter Models List](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/filter-models-list.md)
- [Import a Model](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/import-a-model.md): External models can be imported into the Data Science Lab and experimented inside the Notebooks using the Import Model functionality.
- [Model Explainer Generator](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/model-explainer-generator.md): This functionality generates a model explainer dashboard to help users better interpret their models.
- [Model Explainer Dashboard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/model-explainer-dashboard.md)
- [Classification Model Explainer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/model-explainer-dashboard/classification-model-explainer.md)
- [Regression Model Explainer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/model-explainer-dashboard/regression-model-explainer.md)
- [Forecasting Model Explainer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/model-explainer-dashboard/forecasting-model-explainer.md)
- [Saving a Model](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/saving-a-model.md): This section aims to step down the process of creating, saving, and loading a Data Science model using the notebook infrastructure provided inside the Data Science Lab module.
- [Share a Model](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/share-a-model.md)
- [Register/ Unregister Model](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/register-unregister-model.md)
- [Consuming a Registered Model inside Data Pipeline Module](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/register-unregister-model/consuming-a-registered-model-inside-data-pipeline-module.md)
- [Register a Model as an API](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/register-a-model-as-an-api.md)
- [End-to-end Steps for Model Creation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/end-to-end-steps-for-model-creation.md): Get end-to-end model creation tutorials to get started. You can import these notebooks to your BDB Data Science Lab.
- [ML Model](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/end-to-end-steps-for-model-creation/ml-model.md): This page provides step-by-step process to train an ML model inside a Data Science notebook.
- [PyTorch Model](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/models/end-to-end-steps-for-model-creation/pytorch-model.md)
- [AutoML](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/automl.md): This documentation section focuses on the creation and management of AutoML models (experiments).
- [Creating AutoML Experiment](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/automl/creating-automl-experiment.md): Learn how to create an AutoML Experiment and explore your options for the next phase.
- [Manage AutoML Models](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/automl/manage-automl-models.md): Manage your AutoML Models.
- [Trash](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-science-lab/trash.md): The Trash page facilitates the users to find all your deleted projects. From here, you can either restore them or permanently delete them.
- [BDB Visualization](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization.md): This document serves as an introduction to the BDB Visualization modules, detailing their core functionalities and key features.
- [Dashboard Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer.md): Design stunning dashboards and visualizations effortlessly with the BDB Dashboard Designer, an intuitive and powerful tool for transforming your data into actionable insights.
- [Getting Started](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/getting-started.md): The BDB's Designer module is a web browser-based application used for building governed dashboards and designing analytics.
- [Overview of Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/overview-of-designer.md): This section aims to give an overview of the Dashboard Designer focusing on the two main screens that appear under the Designer module: Homepage and Designer Canvas.
- [Homepage](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/overview-of-designer/homepage.md)
- [Desinger Navigation Panel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/overview-of-designer/homepage/desinger-navigation-panel.md): This section explains steps for all the options in the left panel of the Designer Homepage.
- [Dashboard Canvas](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/overview-of-designer/dashboard-canvas.md)
- [Right side Menu Panel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/overview-of-designer/dashboard-canvas/right-side-menu-panel.md): This page introduces all the options available on the right-side menu of the Dashboard Canvas.
- [Canvas Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/overview-of-designer/dashboard-canvas/canvas-properties.md): The Canvas Properties helps users to configure properties for the entire dashboard.
- [Global Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/overview-of-designer/dashboard-canvas/canvas-properties/global-properties.md): This section explains the Global Properties from the Dashboard Properties.
- [Dashboard Themes](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/overview-of-designer/dashboard-canvas/canvas-properties/dashboard-themes.md): This page displays how to apply dashboard themes to a dashboard.
- [Context Menu Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/overview-of-designer/dashboard-canvas/context-menu-properties.md): This section explains the contextual properties for multiple components in a Dashboard.
- [Workspace](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/workspace.md): This section aims at covering all the related steps to a Workspace creation and maintenance.
- [Creating a New Workspace](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/workspace/creating-a-new-workspace.md): This section explains the steps on how to create a new Workspace in the Designer module.
- [Manage Workspace](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/workspace/manage-workspace.md): This section details the operations you can perform on a created workspace.
- [Dashboard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/dashboard.md): This section outlines the steps to create a new dashboard and manage it after it has been created within the Designer module.
- [Dashboard Creation: Basic Workflow](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/dashboard/dashboard-creation-basic-workflow.md): Creating a dashboard is a multi-step process: you'll start by adding a new dashboard, then connect to data, build and link charts, preview the layout, and save your work.
- [User Alert Notification](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/dashboard/user-alert-notification.md): User alerts notify collaborators when changes are made to a shared dashboard, preventing simultaneous edits from overwriting each other's work.
- [Manage Dashboard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/dashboard/manage-dashboard.md): This page provides an overview of the tools and operations available for managing dashboards, including creating, editing, and deleting them.
- [Open a Dashboard in Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/dashboard/manage-dashboard/open-a-dashboard-in-designer.md)
- [Publish a Dashboard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/dashboard/manage-dashboard/publish-a-dashboard.md): Get details about the various scenario to Publish a Dashboard.
- [Share a Dashboard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/dashboard/manage-dashboard/share-a-dashboard.md): The Share Dashboard option allows you to grant or revoke access to dashboards for specific users or groups, with the ability to exclude individuals as needed.
- [Dashboard Version Control](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/dashboard/manage-dashboard/dashboard-version-control.md): This section provides information on how to create and maintain various version of dashboards.
- [Action Menu](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/dashboard/manage-dashboard/action-menu.md): This page explains more actions associated to a dashboard.
- [Connecting to a Data Source](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source.md): This section explains how to access the various data connector options and step-by-step process to create a connection by using all the available data connectors.
- [Establishing a Data Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection.md): This section displays the steps involved in establishing various choices of Data Connectors available inside the Designer module.
- [CSV Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/csv-connection.md): Access the steps to develop a data connection based on the CSV file.
- [Excel Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/excel-connection.md): Access the steps to develop a data connection based on the CSV file.
- [Data Service Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/data-service-connection.md): Access the steps to develop a data connection based on the Data Service Connection.
- [Data Store Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/data-store-connection.md): Access the steps to develop a data connection based on the Data Store Connection.
- [Data Sheet Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/data-sheet-connection.md): Access the steps to develop a data connection based on the Data Sheet Connection.
- [Data Sheet Enhancements](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/data-sheet-connection/data-sheet-enhancements.md)
- [WebSocket Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/websocket-connection.md): Access the steps to develop a data connection based on the WebSocket Connection.
- [Merged Connection](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/connecting-to-a-data-source/establishing-a-data-connection/merged-connection.md): Access the steps to develop a data connection based on the Merged Connection.
- [Chart Gallery](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery.md)
- [Charts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts.md)
- [Area chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/area-chart.md)
- [Bar Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/bar-chart.md)
- [Bubble Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/bubble-chart.md)
- [Circumplex Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/circumplex-chart.md)
- [Column Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/column-chart.md)
- [Funnel Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/funnel-chart.md)
- [Histogram Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/histogram-chart.md)
- [Inverted Funnel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/inverted-funnel.md)
- [KPI Tile](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/kpi-tile.md)
- [Line Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/line-chart.md)
- [Map](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/map.md)
- [Mito Plot](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/mito-plot.md)
- [Mixed Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/mixed-chart.md)
- [Pie Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/pie-chart.md)
- [Project Timeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/project-timeline.md)
- [Pyramid Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/pyramid-chart.md)
- [Scatter Plot](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/scatter-plot.md)
- [Spark Line](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/spark-line.md)
- [Spider Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/spider-chart.md)
- [Waterfall Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/charts/waterfall-chart.md)
- [Grids](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/grids.md)
- [Data Grid](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/grids/data-grid.md)
- [Paging Grid](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/grids/paging-grid.md)
- [Data Sheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/grids/data-sheet.md)
- [Scorecard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/grids/scorecard.md)
- [Pivot Grid](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/grids/pivot-grid.md)
- [Filters](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/filters.md)
- [Checkbox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/filters/checkbox.md)
- [Combobox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/filters/combobox.md)
- [Hierarchical Combobox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/filters/hierarchical-combobox.md)
- [List](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/filters/list.md)
- [Radio Button](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/filters/radio-button.md)
- [Advanced Charts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts.md)
- [Benchmark Analysis](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/benchmark-analysis.md)
- [Box Plot](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/box-plot.md)
- [Candle Stick](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/candle-stick.md)
- [Chevron](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/chevron.md)
- [Data Search](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/data-search.md)
- [Decision Tree](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/decision-tree.md)
- [Group Bar](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/group-bar.md)
- [Group Column](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/group-column.md)
- [Heat Map](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/heat-map.md)
- [Sankey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/sankey.md)
- [Text Analyzer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/text-analyzer.md)
- [Time Series](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/time-series.md)
- [Decomposition](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/decomposition.md)
- [Knowledge Graph](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/knowledge-graph.md)
- [Treemap](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/treemap.md)
- [Trellis](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/trellis.md)
- [Word Cloud](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/word-cloud.md)
- [New Word Cloud](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/advanced-charts/new-word-cloud.md)
- [Other Charts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts.md)
- [Box](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/box.md)
- [Bullet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/bullet.md)
- [Date Picker](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/date-picker.md)
- [Export](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/export.md)
- [Filter Chips](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/filter-chips.md)
- [Filter Saver](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/filter-saver.md)
- [Gauge](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/gauge.md)
- [Graphics](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/graphics.md)
- [Guided Tour](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/guided-tour.md)
- [H-Slider](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/h-slider.md)
- [Image](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/image.md)
- [Info Button](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/info-button.md)
- [Input Box](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/input-box.md)
- [Label](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/label.md)
- [Legend](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/legend.md)
- [Progress Pie](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/progress-pie.md)
- [Semi Gauge](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/semi-gauge.md)
- [Stepper](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/stepper.md)
- [SVG Image](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/svg-image.md)
- [Text Box](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/text-box.md)
- [Trend](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/trend.md)
- [URL Button](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/url-button.md)
- [V-Slider](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/v-slider.md)
- [Tab component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/tab-component.md)
- [Inputbox component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/inputbox-component.md)
- [Button component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/other-charts/button-component.md)
- [Custom Charts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/custom-charts.md)
- [Export & Copy Paste Chart Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/export-and-copy-paste-chart-properties.md): Get details on how to use the Export & Copy Paste chart properties.
- [Exporting Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/export-and-copy-paste-chart-properties/exporting-chart.md): Export charts and their data from Dashboard Designer using built-in Export Options, a right-click Export context menu, or a plugin script. You can also export with number Formatters applied.
- [Copy Paste Chart Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/chart-gallery/export-and-copy-paste-chart-properties/copy-paste-chart-properties.md): Use Copy/Paste Properties to synchronize display settings across multiple charting components for a quick, visually consistent dashboard.
- [Dashboard Objects](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/dashboard-objects.md): Every component in the dashboard is considered an object. The Object browser (Manage Dashboard Components) exposes properties to lock, hide, delete, duplicate, and arrange components on the dashboard.
- [Key Configurations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/key-configurations.md)
- [Filtering the Data](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/key-configurations/filtering-the-data.md)
- [Drill Through](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/key-configurations/drill-through.md)
- [Drill Highlighter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/key-configurations/drill-through/drill-highlighter.md)
- [Dataset Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/key-configurations/dataset-properties.md): This page guides you through connecting your data source and then dragging fields to visualize the data values on a plot.
- [Indicators in Charts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/key-configurations/indicators-in-charts.md): Apply Indicators to highlight specific categories or values in a charting component. Indicators can change colors (and other styles, if supported) based on rules you define.
- [Tooltip (Default & Custom)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/key-configurations/tooltip-default-and-custom.md): Use the Tooltip property block (in the component property section) to control how tooltips appear for charting components.
- [Data Label](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/key-configurations/data-label.md): Configure Data Label settings to display or hide values on charting components in the Designer.
- [Geo Mapping](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/key-configurations/geo-mapping.md): This section displays how to map the Polygone Geometry type (and Line) with the Leaflet Map charting component in the Designer.
- [Language Mapping](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/key-configurations/language-mapping.md): This feature lets you translate titles, labels, and other descriptive text in your dashboards into multiple languages
- [Legend Mapping](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/key-configurations/legend-mapping.md): Map a Legend to a charting component so users can identify series/categories and (if supported) interact with the chart.
- [Alerts in Grids](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/key-configurations/alerts-in-grids.md): Configure Alerts in the Grid charting component to visually flag values that meet specific conditions.
- [Script Help Section](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/script-help-section.md): Use Script Help to quickly find examples and snippets for writing component- and dashboard-level scripts in Designer.
- [Navigate to Script Help Page](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/script-help-section/navigate-to-script-help-page.md): This section explains how to access the Script Help Page under within the Designer module.
- [How to use Scripts — Dynamic Visibility](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/script-help-section/how-to-use-scripts-dynamic-visibility.md): BDB scripting enables complex dashboards by offering component-level UI and data connection-level back-end control, requiring only basic scripting knowledge.
- [Examples of Scripting in Dashboard Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/script-help-section/examples-of-scripting-in-dashboard-designer.md): This section aims at describing some example of using the Scripting part within the Dashboard Designer module.
- [Defining Global Functions](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/script-help-section/examples-of-scripting-in-dashboard-designer/defining-global-functions.md)
- [Calculating and Passing Date Range for Dataset Filters](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/script-help-section/examples-of-scripting-in-dashboard-designer/calculating-and-passing-date-range-for-dataset-filters.md)
- [Configuring Data Service Loading in Dashboard Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/script-help-section/examples-of-scripting-in-dashboard-designer/configuring-data-service-loading-in-dashboard-designer.md)
- [Understanding changedItem in Dashboard Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/script-help-section/examples-of-scripting-in-dashboard-designer/understanding-changeditem-in-dashboard-designer.md)
- [Optimal Dataset Loading](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/script-help-section/examples-of-scripting-in-dashboard-designer/optimal-dataset-loading.md)
- [Best Practices](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/dashboard-designer/best-practices.md): Master the core principles for building functional, insightful dashboards. Focus on effective data visualization, layout, and performance to drive better decisions.
- [Self-Service Reports](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports.md)
- [Creating a Report](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/creating-a-report.md): This pare outlines the steps involved in the process to get an interactive report.
- [Accessing the Report Module](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/creating-a-report/accessing-the-report-module.md): Learn all the ways to open the Report module and launch the Create New Report flow from the BDB Platform homepage.
- [Create a New Report](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report.md): The Create a New Report page provides multiple ways to start building a report, either from existing data stores or by uploading new files.
- [Create a New Report with an Existing Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/create-a-new-report-with-an-existing-data-store.md): Learn how to create a report by selecting from previously created or shared data stores. This option is recommended when the dataset has already been prepared and validated.
- [Creating and Updating Instance](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/create-a-new-report-with-an-existing-data-store/creating-and-updating-instance.md): This section explains how to create and update an instance for a Data Store, including setting and refreshing Time to Live (TTL) limits.
- [Creating a new Report by uploading a File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/creating-a-new-report-by-uploading-a-file.md)
- [Create a New Report by Uploading a CSV File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/creating-a-new-report-by-uploading-a-file/create-a-new-report-by-uploading-a-csv-file.md): This page explains how to create a report by uploading a CSV file as a data source. Users can practice this functionality using a provided sample file.
- [Create a New Report by Uploading an Excel File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/creating-a-new-report-by-uploading-a-file/create-a-new-report-by-uploading-an-excel-file.md): This page explains how to create a report by uploading an Excel file as a data source. Users can practice this functionality using a provided sample file.
- [Creating a new Report with Data Preparation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/creating-a-new-report-with-data-preparation.md)
- [Data Preparation - Inside Report UI](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/creating-a-new-report-with-data-preparation/data-preparation-inside-report-ui.md): Learn how to create a new report by uploading a file and applying Data Preparation (Data Prep) steps directly in the Report UI before designing and saving views.
- [Data Preparation - from the Data Center](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/creating-a-report/create-a-new-report/creating-a-new-report-with-data-preparation/data-preparation-from-the-data-center.md): Learn how to create a report from a Data Store that has been generated in the Data Center using a Data Sandbox file with applied Data Preparation steps.
- [Designing a View](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/creating-a-report/designing-a-view.md): Begin designing your new report by creating a View on the Design page or Design canvas.
- [Save Multiple Views](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/creating-a-report/save-multiple-views.md): Add and save multiple Views to build a comprehensive Report.
- [Designing Canvas](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/designing-canvas.md): This section explains the process of creating a View, familiarizing users with the various options available on the Design Canvas.
- [Dimension Profiling](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/designing-canvas/dimension-profiling.md): Quickly analyze and visualize summary statistics of a selected dimension using Dimension Profiling, then save the resulting chart as a View within your report.
- [View Measure Summary](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/designing-canvas/view-measure-summary.md): Configure and display a summary value for a selected measure directly on the Design canvas for the current View.
- [Customize Category Color](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/designing-canvas/customize-category-color.md): Use Category Colors to assign specific colors to categorical (dimension) values in a chart, improving readability and helping users quickly distinguish groups in a View.
- [Series Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/designing-canvas/series-properties.md): Use Series Properties to customize how a measure is displayed in your selected View.
- [Create Calculated Field](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/designing-canvas/create-calculated-field.md): Add a new calculated field to the selected Data Store from the Design page. Calculated fields can be created as a Formula (expression) or a Range (bucketization) and then used like any other field in
- [Create a Record Level Formula Field](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/designing-canvas/create-calculated-field/create-a-record-level-formula-field.md): Create a calculated field at the Record Level so the expression is evaluated per row in the selected Data Store. Record-level fields can be used like any other field in Views (filtering, grouping, cha
- [Create a Summary Level Formula Field](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/designing-canvas/create-calculated-field/create-a-summary-level-formula-field.md): A Summary Level Formula Field is a calculated field evaluated after aggregation (on grouped/aggregated results).
- [Order by & Limit](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/designing-canvas/order-by-and-limit.md): Use the Order By and Limit features to sort View data in ascending/descending order and restrict the number of displayed records.
- [Adding a Slicer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/designing-canvas/adding-a-slicer.md): A Slicer allows you to add an additional dimension to a View, segmenting the data into “slices.” This helps compare multiple categories side by side in the same visualization.
- [Chart Gallery](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery.md): This section explains each chart available in the Reports module, detailing their purpose and the properties you can adjust to customize them.
- [Mixed Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/mixed-chart.md): A Mixed chart combines column and line charts to visualize up to three data series at once. It's ideal for highlighting categorical differences and comparing related measures simultaneously.
- [Area Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/area-chart.md): An area chart is a line chart with the area below the line filled in, ideal for showing trends and the magnitude of change over time.
- [Bar Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/bar-chart.md): Bar charts are a simple and effective way to compare different categories of data using bars of varying lengths.
- [Bubble Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/bubble-chart.md): A bubble chart displays data across three or four dimensions, using the x and y axes for two, while the size and color of each bubble represent the remaining one or two.
- [Column Stack Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/column-stack-chart.md): A column chart uses vertical bars to compare individual data points, effectively highlighting the highs and lows within a dataset.
- [Line Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/line-chart.md): A line chart connects a series of data points to show trends over time.
- [Pie Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/pie-chart.md): A pie chart is the most common visualization for showing proportions and percentages, allowing users to quickly see the relative popularity of each category.
- [Scatter Plot Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/scatter-plot-chart.md): A scatter plot is a two-dimensional graph that uses dots to show the relationship between two different variables.
- [TreeMap Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/treemap-chart.md): A Treemap visualizes hierarchical data as a set of nested rectangles, where the size and color of each rectangle represent its value and sub-group.
- [Circumplex Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/circumplex-chart.md): A Circumplex Chart, a hybrid of a bar and pie chart, visualizes multivariate data by dividing it into equal-angled segments where each segment's area, determined by its radius, represents its value.
- [Pareto Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/pareto-chart.md): A Pareto Chart uses a column chart to display individual data points in descending order and a line chart to show the cumulative total, effectively identifying the categories with the greatest impact.
- [Semi Gauge Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/semi-gauge-chart.md): A Semi-gauge chart displays a single metric's value against a target, dynamically changing colors to show if the data is within, approaching, or exceeding a predefined range.
- [KPI Tile](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/kpi-tile.md): KPI Tiles provide at-a-glance visibility into critical business measures using labels, colors, and formatting to track performance.
- [KPI Comparative Tile](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/kpi-comparative-tile.md): An Extended KPI Tile enhances a standard KPI by adding a secondary value, trend analysis, and conditional rules to highlight relationships and changes between two metrics.
- [KPI Tile: Sparkline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/kpi-tile-sparkline.md): A Sparkline KPI chart displays both the current KPI value and its historical trend in a single, compact visualization.
- [Map Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/map-chart.md): A filled map uses colors or shading on a map to represent data distribution, making it easy to spot regional patterns and hot spots.
- [Data Grid](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/data-grid.md): A Data Grid allows users to customize and format datasets with features like column re-ordering and conditional formatting for a structured, readable presentation.
- [Metric Summary](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/metric-summary.md): A Metric Summary displays aggregated results of multiple dimensions and measures using intuitive formats like bullet indicators or progress bars to provide a quick, high-level performance snapshot.
- [Dissolution / Decomposition Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/dissolution-decomposition-chart.md): A decomposition chart is a powerful visualization for presenting data across dimensions hierarchically or sequentially.
- [Spider Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/spider-chart.md): Display multivariate data in the form of a three or more quantitative variables represented on axes starting from the same point.
- [Waterfall Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/waterfall-chart.md): A Waterfall chart is a data visualization that shows how a series of positive and negative changes affect an initial value, culminating in a final value.
- [Funnel Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/funnel-chart.md): A funnel chart visualizes the progressive reduction of data through sequential stages of a process, with the width of each section representing the quantity of a metric at that stage.
- [Inverted Funnel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/inverted-funnel.md)
- [Heatmap Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/heatmap-chart.md): A heatmap is a data visualization that represents the magnitude of a phenomenon in a two-dimensional space using a color-coded system.
- [Geo Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/geo-chart.md): A Geo chart is a map-based visualization that displays data across geographical regions using color intensity or markers to represent values and identify patterns.
- [Sankey Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/sankey-chart.md): A Sankey chart is a flow diagram that visualizes the magnitude of a flow from one set of values to another, where the width of the arrows is proportional to the flow quantity.
- [Candlestick Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/candlestick-chart.md): Candlestick charts are widely used in financial analysis to track price movements of securities, derivatives, or currencies.
- [Benchmark Analysis](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/chart-gallery/benchmark-analysis.md)
- [Report Page](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page.md): This section describes various options provided on the Report page to be applied on the saved Views.
- [Tab](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/tab.md): The Tab UI helps to add more details in tabular format to a Report.
- [Search](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/search.md)
- [Create a New ML View](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/create-a-new-ml-view.md)
- [Shared View](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/shared-view.md): This section provides steps to use shared View in a Report.
- [Live Refresh](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/live-refresh.md): This option will help the user to refresh the Report with latest data based on the saved WebSocket configuration.
- [Export](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/export.md): Export your self-service visualization report in a desired format to consume it the way you like.
- [Export Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/export-properties.md): The Export Properties option allows you to add a header and footer to a story when exporting it as a PDF.
- [Change Theme](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/change-theme.md)
- [Data Store Information](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/data-store-information.md): This page displays the information about the selected Data Stores in context to a report.
- [Options Assigned to a View](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view.md): This section of the documentation focus on the options provided to a View.
- [Analyse](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/analyse.md)
- [Timeline Play](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/analyse/timeline-play.md): Timeline Play projects data over the selected time period to identify the trends and data changes.
- [Data Drills](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/analyse/data-drills.md): This section aims to describe the available Data Drill options for a specific report view.
- [Drill Into](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/analyse/data-drills/drill-into.md)
- [Drill Through](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/analyse/data-drills/drill-through.md)
- [Edit](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/edit.md)
- [Duplicate](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/duplicate.md)
- [Remove](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/report-page/options-assigned-to-a-view/remove.md): This option allows users to remove a saved view from the report.
- [Applying Filters](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/applying-filters.md): The Reports module offers a variety of filters to customize your interactive visual report. These filters can be applied to a specific view or the entire report using a dimension, measure, or date d
- [View Specific Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/applying-filters/view-specific-filter.md): The View Filter icon provided on the Design canvas allows the user to filter a specific View based on the selected filter condition.
- [Dimension-based View Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/applying-filters/view-specific-filter/dimension-based-view-filter.md): This page explains steps for View Filter based on data Dimensions.
- [Measure-based View Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/applying-filters/view-specific-filter/measure-based-view-filter.md): This page explains steps for View Filter based on the Measures.
- [Date-based View Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/applying-filters/view-specific-filter/date-based-view-filter.md): A Date-based View Filter allows you to focus on specific data points and trends within a chosen time frame.
- [Global Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/applying-filters/global-filter.md): This page explains the Global Filter functionality available for the reports.
- [Exclude from the Global Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/applying-filters/exclude-from-the-global-filter.md): This page explains how to exclude a View from the global filter application.
- [Saving a Global Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/applying-filters/saving-a-global-filter.md)
- [Custom View Filter](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/applying-filters/custom-view-filter.md)
- [LOV: Enabled vs Disabled Dimension Values](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/applying-filters/lov-enabled-vs-disabled-dimension-values.md): This page displays scenarios when List of Values (LOV) option is enabled or disabled for a Data Store.
- [Interactions](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/bdb-visualization/self-service-reports/interactions.md): The Interactions feature enhances the global filter, enabling users to filter multiple views in a report by making a selection in a single source view.
- [Migration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/migration.md)
- [Migrating a DS Lab Project](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/migration/migrating-a-ds-lab-project.md)
- [Migrating a DS Lab Script](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/migration/migrating-a-ds-lab-script.md)
- [Migrating a DS Lab Model via Git](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/migration/migrating-a-ds-lab-model-via-git.md)
- [Migrating an API Service Using Git](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/migration/migrating-an-api-service-using-git.md)
- [Migrating a Dashboard Using Git](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/migration/migrating-a-dashboard-using-git.md)
- [Migrating Reports Using Git](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/migration/migrating-reports-using-git.md)
- [Migrating a Pipeline Using Git](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/migration/migrating-a-pipeline-using-git.md)
- [Data Center](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center.md): The Data Center concept is a strategic design choice that provides a structured framework for managing the entire data lifecycle.
- [Data Object Architecture and Dependencies](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/data-object-architecture-and-dependencies.md): This page offers an overview of the Data Center module's features and functions, ensuring you can utilize its maximum capacity.
- [Access the Data Center](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/access-the-data-center.md): This page displays the steps to access the Data Center module under the BDB Platform.
- [My Connectors: Data Flow Initiation and Management](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management.md): This page is the crucial starting point for data flow, enabling users to connect to external data sources and build the necessary data objects for downstream analytics and consumption.
- [Data Connectors](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-connectors.md): You can connect to various data sources using the native connectors, which are pre-built and optimized for those specific data types.
- [Create a Data Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-connectors/create-a-data-connector.md): This page explains the step-by-step process to create a Data Connector under the BDB Platform.
- [Manage Data Connectors](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-connectors/manage-data-connectors.md): This page aims to explain all the options that are credited to a Data Connector on the List of Data Connectors.
- [Sharing a Data Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-connectors/manage-data-connectors/sharing-a-data-connector.md): This page details the procedure for sharing a Data Connector with specific users or user groups using the available access management tools.
- [Reconnecting to a Data Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-connectors/manage-data-connectors/reconnecting-to-a-data-connector.md): Reconnect instantly fixes Data Connector connectivity issues by simply reinitializing the session without altering the saved configuration.
- [Edit a Data Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-connectors/manage-data-connectors/edit-a-data-connector.md): You can re-open the Data Connector create page and modify the connector information using this option.
- [Delete a Data Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-connectors/manage-data-connectors/delete-a-data-connector.md): User can delete an existing data connector using this option.
- [Data Sheets](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets.md): The Data Sheet is a user-friendly, visually appealing spreadsheet that acts as a powerful database, eliminating data silos by making it easy to store and share structured data.
- [Creating a New Data Sheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/creating-a-new-data-sheet.md): This page guides you through the process of creating a new Data Sheet for storing and sharing structured data.
- [Managing a Data Sheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet.md): This section explains the options provided to a data sheet in the Data Sheet list.
- [Publishing a Data Sheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/publishing-a-data-sheet.md): Publish a Data Sheet to make it available on the Platform homepage for selected users or user groups.
- [Entering Data](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/publishing-a-data-sheet/entering-data.md): Add or bulk-paste records into a published Data Sheet. You can enter values manually row-by-row or copy & paste data directly from Excel into the sheet’s meta Structure.
- [Applying Filter (Published Data Sheet)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/publishing-a-data-sheet/applying-filter-published-data-sheet.md): Use Filters to quickly narrow rows in a published Data Sheet.
- [Deleting a Row (Published Data Sheet)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/publishing-a-data-sheet/deleting-a-row-published-data-sheet.md): Remove one or more rows from a published Data Sheet.
- [Refresh Data](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/refresh-data.md): Use Refresh Data to reload the contents of a sandbox-based Data Sheet from its source file in Data Sandbox.
- [Data Sheet Info](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/data-sheet-info.md): View key metadata for a Data Sheet—such as Name, Type, and (for sandbox-based sheets) Status—from a single dialog.
- [Editing a Data Sheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/editing-a-data-sheet.md): Update an existing Data Sheet from the Data Center—modify its name and column design (input types, lookups, restrictions), then save the changes.
- [Deleting a Data Sheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sheets/managing-a-data-sheet/deleting-a-data-sheet.md): Delete an existing Data Sheet from the Data Center.
- [Data Store Meta Data](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data.md): Data store metadata plays a crucial role in data governance, data integration, and data analysis processes. It allows users to quickly discover, understand, and utilize the data effectively.
- [Creating a New Data Store Metadata](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/creating-a-new-data-store-metadata.md): This guide explains how to create a Data Store Metadata, both by mapping to an existing collection and without mapping to a collection, in the Data Center module.
- [Manage Data Store Metadata](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/manage-data-store-metadata.md)
- [Metadata Store Info](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/manage-data-store-metadata/metadata-store-info.md): Access the Store Details of a Data Store Meta Data to view key metadata like name, source, total records, synonyms, and global search options.
- [Refresh Synonyms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/manage-data-store-metadata/refresh-synonyms.md): The Refresh Synonyms option updates the metadata tables to reflect the latest metadata changes, ensuring that associated synonyms are current.
- [Adding Synonyms to a Metadata](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/manage-data-store-metadata/adding-synonyms-to-a-metadata.md): The Add Synonyms to Metadata Store feature lets users associate alternative names with metadata fields, dimensions, and values for standardized terminology and intuitive querying, especially for NLP.
- [Sharing a Data Store Metadata](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/manage-data-store-metadata/sharing-a-data-store-metadata.md): The Sharing a Data Store Metadata feature allows users to share a Metadata Store with others or groups for collaborative access, enabling controlled viewing, editing, and permission management.
- [Editing a Data Store Metadata](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/manage-data-store-metadata/editing-a-data-store-metadata.md)
- [Deleting a Data Store Metadata](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-store-meta-data/manage-data-store-metadata/deleting-a-data-store-metadata.md): The Delete Data Store Metadata feature permanently removes a specific Metadata Store; this irreversible action is used to clean up unneeded or outdated data.
- [Data Stores](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores.md): The BDB Data Store serves as a persistent data source, designed to store collections of data from various repositories, including databases, APIs, and Flat files.
- [Creating a New Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/creating-a-new-data-store.md): Create Data Stores from any supported Data Connector to materialize report-ready data for the Report Module and other consumers.
- [Managing a Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store.md): This page aims to describe the various options provided on the Data Stores List.
- [Data Store Info](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/data-store-info.md): View key details and controls for a selected Data Store from a single drawer.
- [Refresh Synonyms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/refresh-synonyms.md)
- [Add Synonyms to Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/add-synonyms-to-data-store.md): Enhance data searchability and consistency by adding synonyms for dimension values and defining units for measures within a Data Store.
- [Pull from VCS](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/pull-from-vcs.md): Pull from VCS allows you to retrieve a previous version of a Data Store from Git-based version control, giving you access to historical Data Store definitions and configurations.
- [Push to VCS](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/push-to-vcs.md): Push to VCS lets you version a Data Store by storing its latest state in a Git-based version control system, using a commit message to track changes and facilitate collaboration.
- [Refresh Data](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/refresh-data.md): Use Refresh Data to reload a Data Store and ensure it reflects the latest data from its source.
- [Sharing a Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/sharing-a-data-store.md): Control who can view, edit, or manage a Data Store by assigning permissions and managing user groups. Additionally, exclude or include specific users and revoke privileges as needed.
- [Editing a Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/editing-a-data-store.md): Edit an existing Data Store to update its configurations, fields, or query. The editing process may vary based on the Data Source category (e.g., RDBMS, API).
- [Deleting a Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-stores/managing-a-data-store/deleting-a-data-store.md): This guide explains how to delete a Data Store from the Data Store List.
- [Data Sandbox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox.md): The Data Sandbox file is the isolated data set used for conducting data science experiments and model development without impacting production systems.
- [Creating a New Data Sandbox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/creating-a-new-data-sandbox.md): Create and save a Data Sandbox to upload files for profiling, preparation, and downstream use in Data Stores, Data Sheets, and reports.
- [Managing a Data Sandbox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/managing-a-data-sandbox.md): This section explains the various options provided for a Data Sandbox file on the Data Sandbox List page.
- [Upload File Status](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/managing-a-data-sandbox/upload-file-status.md): Make a Data Sandbox file available to the Data Science Lab (DS Lab) and add it to a project’s datasets.
- [Reupload a Data Sandbox File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/managing-a-data-sandbox/reupload-a-data-sandbox-file.md): Use Reupload to replace the file behind an existing Data Sandbox entry—useful when an upload failed or the source file has been updated.
- [Preview a Data Sandbox File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/managing-a-data-sandbox/preview-a-data-sandbox-file.md): Quickly verify an uploaded file’s contents before preparing or using it downstream.
- [Deleting a Data Sandbox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/managing-a-data-sandbox/deleting-a-data-sandbox.md): Remove an existing Data Sandbox file from the Data Center.
- [Create Data Preparation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/create-data-preparation.md): Users can access the Data Preparation landing page using this option from the Data Sandbox list page.
- [Create Datastore](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/create-datastore.md): Users can also create a new Data Store on the top of a Data Sandbox using the Create Datastore option.
- [Create Datasheet](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sandbox/create-datasheet.md): Users can access the Create Data Sheet page using this option from the Data Sandbox list.
- [Data Sets](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sets.md): Get a structured collection of data that is organized and stored in a specific format for easy access, retrieval, and analysis.
- [Creating a New Data Set](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sets/creating-a-new-data-set.md): This section provides a detailed, step-by-step guide to creating a Data Set and explaining its related functions.
- [Manage Data Sets](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sets/manage-data-sets.md): This section displays credited options available for a Data Set.
- [Create Widget](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sets/create-widget.md)
- [Create Data as API](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sets/create-data-as-api.md): Securely share your data with external entities or integrate their data into third-party applications.
- [Create Data Preparation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-sets/create-data-preparation.md): Users can create Preparations on top of a Data Set using this option.
- [Function](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/function.md): This page outlines the steps to build a micro function that enhances your data agent's capabilities.
- [Feature Stores](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/feature-stores.md)
- [Data as API](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-as-api.md)
- [Data Preparation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation.md): Process, clean, and export your large data, preparing it for immediate analysis in a streamlined workflow.
- [Data Preparation Landing Page](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/data-preparation-landing-page.md): The Data Preparation Landing Page is the central workspace for exploring, transforming, and cleaning datasets using the Data Grid, transformations, Auto Prep, filtering, and data quality monitoring.
- [Profile Tab](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/profile-tab.md): The Profile Tab provides a data overview (patterns, values, occurrences) and auto-suggested transformations to quickly assess data quality and structure.
- [Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms.md): This section explains all available Transforms. Please note that the user interface (UI) for these Transforms is currently being updated.
- [Advanced Data Preparation Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/advanced-data-preparation-transforms.md): The Advanced Transforms section provides tools like Cluster & Edit, Expression Editor, Find Anomaly, and SQL Transform for complex data cleaning, enrichment, and anomaly detection.
- [Anonymization Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/anonymization-transforms.md): Anonymization transforms (Data Hashing, Masking, Variance, Hashing with Salt & Pepper) in Data Prep modify PII to secure sensitive data for analytics.
- [Columns Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/columns-transforms.md): The Column transforms section provides tools for modifying, cleaning, and manipulating data within individual columns of a dataset.
- [Conversions Transform](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/conversions-transform.md): The Conversions transforms allow users to change the data type of columns to ensure data consistency and compatibility for various processing needs.
- [Data Cleansing Transforms in Data Preparation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/data-cleansing-transforms-in-data-preparation.md): Data Cleansing transforms standardize and sanitize datasets by removing inconsistencies and duplicates, preparing data for analysis.
- [Dates Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/dates-transforms.md): The Dates category of transforms allows users to manipulate date and time columns for analysis, calculation, and conversion across time zones.
- [Function Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/function-transforms.md): Function Transforms apply a mathematical or programmatic function to data to convert its format or structure, making it ready for processing.
- [Integer Transform](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/integer-transform.md): The Integer Transform performs arithmetic operations (addition, subtraction, multiplication, division, modulus) on numeric columns to scale, calibrate, or normalize data.
- [Machine Learning (ML) Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/machine-learning-ml-transforms.md): The ML transforms provide operations commonly used in feature engineering, preprocessing, and time-series analysis for machine learning workflows.
- [Number Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/number-transforms.md)
- [String Transforms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/transforms/string-transforms.md): The String transforms allow users to manipulate textual data, standardize formats, and enrich string columns for analysis or downstream processing.
- [Steps Tab](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-preparation/steps-tab.md): The Steps Tab tracks and manages all applied transformations in the Data Preparation workspace, ensuring reproducible and controlled data workflows.
- [Data Forms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-forms.md): This section explains how to create a Data Form on top of a Data Set Connector within the Data Center module.
- [Form Builder](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-forms/form-builder.md): The Form Builder interface provides options to insert new sections and events into your form.
- [Form Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-forms/form-builder/form-settings.md)
- [Section Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-forms/form-builder/section-properties.md): Section Properties provide centralized control over how form sections are displayed and behave within a Data Form.
- [Semantic Business Object-based Data Form](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-forms/form-builder/semantic-business-object-based-data-form.md): This section provides an overview of a form built on semantic logic.
- [Managing Data Form](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-forms/managing-data-form.md): This section will explain the various actions available for a Data Form post it's creation.
- [Data Apps](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-apps.md): This section breaks down the sequence the user can follow to build a complete business application using the BDB Platform.
- [Data App Builder: Designer View](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-apps/data-app-builder-designer-view.md): Use this space to assemble various data center entities into your business application.
- [Manage Data Apps](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/data-apps/manage-data-apps.md): This section will explain the various actions available for a Data App post it's creation.
- [Widgets](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/widgets.md): This page provides an overview of how to manage your widgets through the Widgets tab.
- [Inserting a Widget into My Insight](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/widgets/inserting-a-widget-into-my-insight.md): Users can inserts published widgets to My Insights provided on the Platform Homepage.
- [Share a Widget](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/my-connectors-data-flow-initiation-and-management/widgets/share-a-widget.md): This page provides an overview of how to share a widget with selected users or user groups.
- [Lake House](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/lake-house.md): The Lake House acts as the foundation layer where structured, semi-structured, and curated datasets are logically organized, governed, and made analytics-ready for downstream consumption.
- [Schema Creation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/lake-house/schema-creation.md)
- [Database Creation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/lake-house/database-creation.md): The following section outlines the procedures for initializing a database within your designated schema.
- [Table Creation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/lake-house/table-creation.md): A table is the primary structure used to store and organize data within a database. This guide explains how to create a table inside an existing schema → database in the Lake House.
- [Role-Based Access Control (RBAC)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/lake-house/role-based-access-control-rbac.md)
- [Data Catalog](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/data-catalog.md): The Data Catalog empowers data users to have a holistic view of data, quickly discover data lineage that drives insightful decisions, and optimize their business value.
- [Accessing Data Catalog](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/data-catalog/accessing-data-catalog.md): This page provides content on how to access the Data Catalog option on the BDB Platform.
- [Search Bar](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/data-catalog/search-bar.md): The Search Bar in a Data Catalog is a critical user interface component that enables users to quickly locate and access data assets across the organization’s data ecosystem.
- [Filters](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/data-catalog/filters.md): The Filters option in the Data Catalog allows you to narrow down search results and quickly locate relevant data assets.
- [Data Catalog Overview](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/data-catalog/data-catalog-overview.md): Get an in-depth overview of a selected data asset, offering users comprehensive metadata and contextual information necessary for informed data usage and analysis.
- [Deleting a Catalog Entry](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/data-catalog/data-catalog-overview/deleting-a-catalog-entry.md): This page describes steps to delete a data catalog entry.
- [Data Quality](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-center/data-quality.md): Data Quality measures the accuracy, completeness, and consistency of your data making sure that all subsequent analytics, reports, and models built on the platform are reliable and trustworthy.
- [Data Agent](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-agent.md): The Data Agent is a groundbreaking GenAI feature of the BDB Platform, offering an interactive, user-friendly interface that enables precise discovery of hidden patterns and trends within your data.
- [Data Agent Creation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-agent/data-agent-creation.md): This section explains the step-by -step process to create a Data Agent.
- [Restricting Data by User Custom Fields](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-agent/restricting-data-by-user-custom-fields.md): This page describes the steps to restrict data using the user level custom fields.
- [Publishing a Data Agent](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-agent/publishing-a-data-agent.md): Users can publish the data agent to access the intuitive UI of the Data Agent on their homepage.
- [Data Agent at Work](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-agent/data-agent-at-work.md): This section illustrates how a Data Agent empowers users to perform in-depth analysis of business data, enabling rapid and decisive action based on insights derived.
- [Pin/ Unpin a Chart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-agent/data-agent-at-work/pin-unpin-a-chart.md): This page describes how to pin a chart from your conversation with a data agent to the interactive KPI Widgets section
- [Use Cases](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-agent/data-agent-at-work/use-cases.md): Refer to the below given YouTube videos to understand some actual scenarios on how the Data Agents function.
- [Deleting a Data Agent](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-agent/deleting-a-data-agent.md): This section provides steps on how to delete a data agent.
- [Administration & Security](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security.md)
- [Admin](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin.md): This section outlines the privileges and responsibilities of BDB Account Administrators. It also details the key settings and configurations that can be managed at a platform level.
- [Admin Panel Options](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options.md)
- [API Client Registration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/api-client-registration.md)
- [Audit Trail](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/audit-trail.md)
- [Authentication](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/authentication.md)
- [AD Configuration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/authentication/ad-configuration.md)
- [AWS Cognito Configuration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/authentication/aws-cognito-configuration.md)
- [CA PPM Configuration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/authentication/ca-ppm-configuration.md)
- [SSO Configuration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/authentication/sso-configuration.md)
- [Keycloak](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/authentication/sso-configuration/keycloak.md)
- [Azure/ OAuth](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/authentication/sso-configuration/azure-oauth.md)
- [Configurations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations.md)
- [API Base URL](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/api-base-url.md)
- [API Connectors Configurations](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/api-connectors-configurations.md)
- [Bulk User Creation](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/bulk-user-creation.md)
- [Core Ownership Transfer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/core-ownership-transfer.md)
- [Custom Field Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/custom-field-settings.md)
- [Data Connectors](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/data-connectors.md)
- [Data Lake Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/data-lake-settings.md)
- [Data Science Lab Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/data-science-lab-settings.md)
- [Data Sheet Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/data-sheet-settings.md)
- [Data Store Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/data-store-settings.md)
- [Email Server](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/email-server.md)
- [Execution Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/execution-settings.md)
- [Form Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/form-settings.md)
- [Gen AI Assist Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/gen-ai-assist-settings.md)
- [Keycloak Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/keycloak-settings.md)
- [Version Control](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/version-control.md)
- [Versioning](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/version-control/versioning.md)
- [Migration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/version-control/migration.md)
- [Open ID Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/open-id-settings.md)
- [Password](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/password.md)
- [Sandbox Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/sandbox-settings.md)
- [Secret Management](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/secret-management.md)
- [SSL Certificate Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/ssl-certificate-settings.md)
- [Workspace Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/configurations/workspace-settings.md)
- [Documentation Management](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/documentation-management.md)
- [Geo Spatial](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/geo-spatial.md)
- [Language Mapping](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/language-mapping.md)
- [Languages](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/language-mapping/languages.md)
- [Mapping Table (Language Text Mapping)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/language-mapping/mapping-table-language-text-mapping.md)
- [License](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/license.md)
- [Pipeline Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/pipeline-settings.md)
- [Resource Observability](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/resource-observability.md)
- [Schedule Monitor](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/schedule-monitor.md)
- [Server Monitor](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/server-monitor.md)
- [Session Manager](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/admin/admin-panel-options/session-manager.md)
- [Security](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security.md): You can create users/ user groups and assign various app permissions using this module.
- [Create User](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security/create-user.md): This section outlines the steps for creating a new user.
- [Restrict Data Access](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security/create-user/restrict-data-access.md): Data access can be restricted for users passing the custom fields value through security module.
- [Deleting a User](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security/create-user/deleting-a-user.md): This option helps to remove a user from the user list.
- [Reset Password](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security/create-user/reset-password.md): Users can also reset password of their selected user accounts from the Security module.
- [User Status](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security/create-user/user-status.md): The User Status page provides an overview of each user's current account status. Use this page to monitor user engagement and identify inactive accounts.
- [Blocking a User](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security/create-user/user-status/blocking-a-user.md): Active users can be blocked using this option.
- [Activating a User](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security/create-user/user-status/activating-a-user.md): This section explains the steps to Activate a user from the Blocked or Expired Users lists.
- [Create User Group](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security/create-user-group.md): Instructions for creating a new user group are provided in this section."
- [Blocking/Activating a User Group](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security/create-user-group/blocking-activating-a-user-group.md): This page outlines the process for blocking or activating a user group within the platform
- [Assigning Custom Fields to a User Group](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security/create-user-group/assigning-custom-fields-to-a-user-group.md): This page guides you through the process of assigning custom fields to a user.
- [Various User Roles](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security/various-user-roles.md): A platform user can be assigned one of three roles, depending on the access permissions granted.
- [Viewer Role](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security/various-user-roles/viewer-role.md): It is the default user role for all the new users until they are added to any user groups with required permissions to use the platform modules.
- [Admin Role](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security/various-user-roles/admin-role.md): This page explains the process of assigning the Admin role to a platform user.
- [Non-admin User Roles](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/administration-and-security/security/various-user-roles/non-admin-user-roles.md): This section focuses on user-defined roles of the platform users.
- [Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey.md)
- [Accessing the Survey Module](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/accessing-the-survey-module.md): This section describes how to access the Survey module and lists down the key task options
- [Creating a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/creating-a-survey.md): Get the steps to create a new Survey.
- [Survey Builder: Designing a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/survey-builder-designing-a-survey.md): This section explains steps to access the Survey Builder page.
- [Questions](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/survey-builder-designing-a-survey/questions.md): Learn how to manage questions in your survey, including adding, deleting, and selecting from the various question types.
- [Inserting a Question into a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/survey-builder-designing-a-survey/questions/inserting-a-question-into-a-survey.md): Users can add questions to a form or survey by selecting from available question types and configuring their properties.
- [Available Question Types](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/survey-builder-designing-a-survey/questions/available-question-types.md): This section outlines the all the questions types provided in the Survey module.
- [Deleting a Question](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/survey-builder-designing-a-survey/questions/deleting-a-question.md): Each added question type in the Survey gets the Delete icon to delete the question once you add it to the survey.
- [Page](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/survey-builder-designing-a-survey/page.md): This section provides all the needed information on the Survey pages.
- [Inserting a New Page](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/survey-builder-designing-a-survey/page/inserting-a-new-page.md): Users can add new pages to a Survey to organize questions into sections or steps, either before or after existing pages.
- [Editing an Existing Page in a Form](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/survey-builder-designing-a-survey/page/editing-an-existing-page-in-a-form.md): Users can edit the properties of an existing page to update its title, description, or logic, allowing for better organization and clarity within a form.
- [Survey Options](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/survey-builder-designing-a-survey/survey-options.md): The Survey Options feature allows users to customize the survey logo and edit key details on the Create Survey screen, providing a branded and informative experience for respondents.
- [Question Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/survey-builder-designing-a-survey/question-properties.md): All the details-related to the question properties are covered under this section.
- [Theme](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/survey-builder-designing-a-survey/theme.md): The Theme option in the Survey Builder lets users customize the survey's appearance.
- [Saving a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/survey-builder-designing-a-survey/saving-a-survey.md): The Save feature ensures that all changes and modifications made to a survey are recorded, preventing loss of data during survey creation or editing.
- [Publishing a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/publishing-a-survey.md): After designing a survey, users can publish it to collect responses via a Weblink or Email Collector. This section explains the steps to publish a survey and manage related options.
- [Survey Collectors](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/publishing-a-survey/survey-collectors.md): The Collector is a key component of the Publish Survey feature. It provides a unique online link or channel to distribute the survey to end-users and gather responses for analysis.
- [Creating & Managing Collectors](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/publishing-a-survey/creating-and-managing-collectors.md)
- [Creating Collectors](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/publishing-a-survey/creating-and-managing-collectors/creating-collectors.md): Explore the Survey collector creation process under this section.
- [Adding Recipients to an Email Collector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/publishing-a-survey/creating-and-managing-collectors/creating-collectors/adding-recipients-to-an-email-collector.md): Users can add recipients to an Email Collector to send surveys directly via email. Recipients can be added either from existing Contact Groups or manually.
- [Managing Collectors](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/publishing-a-survey/creating-and-managing-collectors/managing-collectors.md): This section describes the options provided to Survey Collectors after creation.
- [Analyzing Result for a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/analyzing-result-for-a-survey.md)
- [Creating a New View in Analyze Result](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/analyzing-result-for-a-survey/creating-a-new-view-in-analyze-result.md): Users can create and manage custom views within the Analyze Result tab to organize and filter data according to their requirements.
- [Filter Rule in Analyze Result](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/analyzing-result-for-a-survey/filter-rule-in-analyze-result.md): The Filter Rule feature allows administrators to customize analytic displays by applying filters to view specific responses within the Analyze Result tab.
- [Creating a Filter Rule](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/analyzing-result-for-a-survey/filter-rule-in-analyze-result/creating-a-filter-rule.md): This section explains steps to create a filter rule.
- [Filter Types](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/analyzing-result-for-a-survey/filter-rule-in-analyze-result/filter-types.md): he Filter options allow survey administrators to analyze specific subsets of survey responses by focusing on skipped questions or specific answers.
- [Response Filtering by Question Type](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/analyzing-result-for-a-survey/filter-rule-in-analyze-result/response-filtering-by-question-type.md): Administrators can apply filters to survey responses based on specific question types and answers. This functionality allows targeted analysis of user responses in the Analyze Result tab.
- [Show/Hide Rules for Page or Questions](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/analyzing-result-for-a-survey/show-hide-rules-for-page-or-questions.md): The Show/Hide Rules functionality allows survey administrators to control which pages or questions are displayed in the Analyze Result view. This helps focus analysis on specific questions or pages.
- [More Options](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options.md)
- [Previewing a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/previewing-a-survey.md): The Preview Survey feature allows users to view a survey exactly as respondents will see it. This ensures that questions, layout, and display settings are accurate before publishing.
- [Benchmark in Surveys](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/benchmark-in-surveys.md): Benchmark is a point of reference for evaluating performance/ level of quality. It is required to set goals, before using Benchmark as logic or point of reference to derive at the desired comparison.
- [Editing a Benchmark](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/benchmark-in-surveys/editing-a-benchmark.md)
- [Benchmark Goals](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/benchmark-in-surveys/benchmark-goals.md)
- [Questions for Benchmark Goals](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/benchmark-in-surveys/questions-for-benchmark-goals.md): This section describes how to insert a question to a Benchmark Goal, view it, and delete it.
- [Adding Questions to a Benchmark Goal](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/benchmark-in-surveys/questions-for-benchmark-goals/adding-questions-to-a-benchmark-goal.md): Each benchmark goal requires a set of questions to define and evaluate the objective. Administrators can assign questions and configure the evaluation rules for each goal.
- [Viewing a Goal Question in a Benchmark](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/benchmark-in-surveys/questions-for-benchmark-goals/viewing-a-goal-question-in-a-benchmark.md): Administrators can view all questions assigned to a benchmark goal, including details of associated question types, calculated values, and available actions.
- [Deleting a Goal Question from a Benchmark](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/benchmark-in-surveys/questions-for-benchmark-goals/deleting-a-goal-question-from-a-benchmark.md): Administrators can remove questions from a benchmark goal to ensure only relevant questions are used for evaluation.
- [Managing Datamart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/managing-datamart.md): Datamart option is provided to write the survey data inside a database. This function can help the user to store the collected responses of a survey and update them.
- [Creating a Datamart for a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/managing-datamart/creating-a-datamart-for-a-survey.md): Administrators can create a data mart to store and manage survey data efficiently. The Datamart allows survey responses to be written to a dedicated database for reporting and analysis.
- [Implementing Scheduler for Datamart](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/managing-datamart/implementing-scheduler-for-datamart.md): The Datamart Scheduler allows administrators to automate data refreshes for survey Datamarts, ensuring the stored data remains up-to-date without manual intervention.
- [Other Options](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/managing-datamart/other-options.md): The Datamart Management options provide administrators with additional functionalities, including manual updates, editing, and refreshing data to ensure accurate and up-to-date survey data.
- [Copying a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/copying-a-survey.md): The Copy Survey feature allows users to duplicate an existing survey for reuse, enabling modifications and collection of new responses without affecting the original survey.
- [Survey Summary](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/survey-summary.md): The Survey Summary feature provides an overview of both the design elements and responses for a selected survey, allowing administrators to quickly assess survey configuration and participation.
- [Deleting a Survey](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/more-options/deleting-a-survey.md): The Delete Survey feature allows administrators to remove surveys that are no longer needed, ensuring the survey list remains organized and up-to-date.
- [Contacts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/contacts.md): The Contacts section acts as your address book for surveys, allowing you to organize recipients into groups for easy sharing.
- [Contact Group](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/contacts/contact-group.md): The Contact Group feature allows users to organize recipients for surveys or communications, enabling efficient management and distribution.
- [Create New Contacts](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/contacts/create-new-contacts.md)
- [Creating New Contacts (Manually)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/contacts/create-new-contacts/creating-new-contacts-manually.md): Users can manually add contacts to a contact group for surveys or communications. This allows precise control over recipient details.
- [Uploading Contacts from a CSV File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/contacts/create-new-contacts/uploading-contacts-from-a-csv-file.md): Users can quickly add multiple contacts to a contact group by uploading a CSV file, ensuring efficient recipient management for surveys or communications.
- [Listing a Contact](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/contacts/listing-a-contact.md): The List Contacts feature allows users to view all contacts and perform actions such as editing or deleting individual entries.
- [Using Survey Template](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/survey/using-survey-template.md): The Survey Template feature allows users to reuse existing surveys and modify them as needed, providing efficiency in survey creation and consistency in design.
- [Forms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms.md): This section offers a detailed guide on how to use the Forms module.
- [Accessing the Forms Module](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/accessing-the-forms-module.md): The Forms module allows users to create, manage, and interact with forms within the platform. This section explains how to navigate to the Forms module from the Apps menu.
- [General Workflow for Forms](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms.md)
- [Creating a Form](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms/creating-a-form.md): Users can create new forms in the Forms module by following these steps. This process allows the user to define a form’s title, instructions, and branding.
- [Listing a Form](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms/listing-a-form.md): The List Form page displays all forms that a user has created, saved, or copied. It serves as the main hub to access and manage existing forms.
- [Form Page Component](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms/form-page-component.md)
- [Page Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms/page-settings.md): Access the Page Settings icon in the Form Header panel to quickly Rename, Duplicate, or Delete the selected form page, centralizing your page management controls.
- [Question](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms/question.md): The users get the Question Settings icon next to the Question Save icon for the selected question. This page aims to explain the Question Settings option.
- [Question Properties](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms/question-properties.md): The Question Properties window allows users to configure various settings for individual questions in a form, including appearance, validation, conditional logic, and lookup options.
- [Form Preview](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms/form-preview.md): The Form Preview feature allows users to view and interact with a form before publishing, ensuring that the layout, questions, and functionality behave as expected across different devices.
- [Publishing a Form](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms/publishing-a-form.md)
- [Form Response](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms/form-response.md): Use the Form Response module to control submitted data: view, filter, edit, and export all responses instantly from a single table.
- [Filtering Form Responses](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms/filtering-form-responses.md): This page displays options to filter the form responses.
- [Form Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms/form-settings.md): The Form Settings page provides centralized control to configure your form's behavior, appearance, and user interaction. Here, you can adjust various properties, themes, and specific instructions.
- [Form Theme Settings](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms/form-theme-settings.md): Get details about the various themes for a Form.
- [Form Instruction per User](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms/form-instruction-per-user.md)
- [Form Options](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/forms/general-workflow-for-forms/form-options.md): The Form Options menu provides actions to manage and modify forms, including editing, duplicating, previewing, publishing, deleting, and configuring settings.
- [Mobile App](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/mobile-app.md): This section provides detailed information on how to use the Mobile App.
- [How-To Guides & Tutorials](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials.md)
- [Resetting your BDB Password](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/resetting-your-bdb-password.md): Get steps to reset the password for your user account using the Forgot Password option.
- [How to do Force Login?](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/how-to-do-force-login.md): This functionality facilitates the user to kill active sessions while logging in after all the permitted sessions are consumed.
- [Data Center](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/data-center.md)
- [Create a Data Store Using an RDBMS Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/data-center/create-a-data-store-using-an-rdbms-connector.md): Create a Data Store on top of an RDBMS Data Connector and configure types, hierarchy, batching, restrictions, and (optionally) scheduling.
- [Create a Data Store using an API Data Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/data-center/create-a-data-store-using-an-api-data-connector.md)
- [Data Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/data-pipeline.md)
- [Build an Automated Machine Learning Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/data-pipeline/build-an-automated-machine-learning-pipeline.md): S3 data is extracted, transformed, and fed into a trained AutoML model for prediction before the output is loaded into a target database.
- [Automate Data Analysis using API, AutoML, & Database Integration](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/data-pipeline/automate-data-analysis-using-api-automl-and-database-integration.md): To ingest hiring data from an API, prepare and analyze it using AutoML, and store the results in a database for actionable insights and reporting.
- [Real-Time Data Pipeline: API Ingestion to WebSocket Delivery](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/data-pipeline/real-time-data-pipeline-api-ingestion-to-websocket-delivery.md): To ingest, prepare, and deliver real-time hiring data simultaneously to a database for storage and a WebSocket for live consumption.
- [Kafka-to-ClickHouse Pipeline with Real-Time AutoML Inference](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/data-pipeline/kafka-to-clickhouse-pipeline-with-real-time-automl-inference.md): To process hiring data from Kafka, prepare and analyze it using AutoML, and store the results in ClickHouse for insights and easy access.
- [Data Science Lab](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/data-science-lab.md)
- [DS Model-to-Sandbox Pipeline](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/data-science-lab/ds-model-to-sandbox-pipeline.md): To create a project in DS Lab, train and register a model, and build a pipeline that writes model outputs to the Data Sandbox for analysis and reuse.
- [Create Forecasting Models in DS Lab](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/data-science-lab/create-forecasting-models-in-ds-lab.md): Workflow 2 in DS Lab demonstrates the power and simplicity of creating and optimizing forecasting models by leveraging in-built algorithms, boilerplate code, and utility/artifact features.
- [Perform Churn Analysis Using DS Lab and Explainable AI](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/data-science-lab/perform-churn-analysis-using-ds-lab-and-explainable-ai.md): To perform churn analysis using DS Lab Notebooks, apply explainable AI for model insights, and integrate results into a pipeline and data sandbox to drive customer retention strategies.
- [Build and Deploy a Sentiment Analysis Model as an API in DS Lab](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/data-science-lab/build-and-deploy-a-sentiment-analysis-model-as-an-api-in-ds-lab.md): To build a Sentiment Analysis model in DS Lab, register it as an API through the Admin Module, and validate its response via API requests.
- [Leverage AutoML for Super Market Data](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/data-science-lab/leverage-automl-for-super-market-data.md): Harnessing AutoML for Supermarket data to apply preparation, classification, and regression for uncovering insights and driving data-driven decisions.
- [Dashboard Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/dashboard-designer.md)
- [Create an HR Recruitment Dashboard Using BDB Dashboard Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/dashboard-designer/create-an-hr-recruitment-dashboard-using-bdb-dashboard-designer.md): The HR Recruitment Dashboard provides a visual overview of the hiring funnel and key talent metrics for managers to monitor performance and guide staffing decisions.
- [Build a Real-Time Feedback Analysis Dashboard Using API Ingestion and WebSocket](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/dashboard-designer/build-a-real-time-feedback-analysis-dashboard-using-api-ingestion-and-websocket.md)
- [Create a Candidate Dashboard Using the Designer Plugin](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/dashboard-designer/create-a-candidate-dashboard-using-the-designer-plugin.md)
- [Create a Restaurant Analysis Dashboard Using the Designer](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/dashboard-designer/create-a-restaurant-analysis-dashboard-using-the-designer.md): Create an interactive Restaurant Analysis Dashboard in BDB, connecting visualizations to parameterized queries and dynamic filters.
- [Create a Sales Analysis Dashboard Using a Custom Chart and Flat File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/dashboard-designer/create-a-sales-analysis-dashboard-using-a-custom-chart-and-flat-file.md): Creating a Sales Analysis Dashboard
- [Create a Sales Analysis Dashboard](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/dashboard-designer/create-a-sales-analysis-dashboard.md): Visualize sales data using a Data Store as the primary input source.
- [Self-service Report](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/self-service-report.md)
- [Creating a Report by Uploading a CSV to Data Sandbox](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/self-service-report/creating-a-report-by-uploading-a-csv-to-data-sandbox.md): Self Service Report from CSV
- [Building a Report with a ClickHouse Data Connector](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/self-service-report/building-a-report-with-a-clickhouse-data-connector.md): Create a ClickHouse Data Connector, build a Data Store on top of it, and design a Business Report with advanced analytics using that Data Store.
- [How to Create a Self-Service Report from the Homepage (Excel/CSV)](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/self-service-report/how-to-create-a-self-service-report-from-the-homepage-excel-csv.md)
- [Creating a Report by Uploading an Excel](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/self-service-report/creating-a-report-by-uploading-an-excel.md): This guide demonstrates how to create a Self-Service Report and leverage its complete range of features — from dataset creation and preparation to advanced data visualization and analysis.
- [Report Creation based on a Data Connector-based Data Source as the Input Source](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/self-service-report/report-creation-based-on-a-data-connector-based-data-source-as-the-input-source.md): Creating Interactive Reports: Connecting Data Sources, Building Data Stores with SQL, Configuring LOVs, and Visualizing Data with Calculated Fields, NLP Search, and Live Refresh.
- [Create an Interacting Report Using an Excel File](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/self-service-report/create-an-interacting-report-using-an-excel-file.md): Guide to dataset uploading, preparation, and building interactive visual reports using BDB's Data Preparation and Self-Service Report modules.
- [Create a Report based on multiple Data Store](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/self-service-report/create-a-report-based-on-multiple-data-store.md): Build reports on Retail Data in BDB using Datastores, standard KPIs, visualizations, and ML features (Segmentation, Anomaly Detection, and Forecasting).
- [Jobs](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/jobs.md)
- [Creating an ETL Spark Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/jobs/creating-an-etl-spark-job.md): This page contains end-to-end process for creating an ETL Job.
- [Creating a Python Data Processing Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/jobs/creating-a-python-data-processing-job.md): End-to-End Python Job Creation and Execution on BDB Decision Platform
- [Creating and Executing a PySpark Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/jobs/creating-and-executing-a-pyspark-job.md): End-to-End Creation and Execution of a PySpark Job on BDB Platform
- [On-Demand Python Job Execution using the BDB Platform](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/jobs/on-demand-python-job-execution-using-the-bdb-platform.md): On-Demand Python Job Execution using BDB Platform
- [Automating Python (On-Demand) Job Execution Using Job Trigger](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/jobs/automating-python-on-demand-job-execution-using-job-trigger.md)
- [Executing External Scripts Using the Script Executor Job](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/how-to-guides-and-tutorials/jobs/executing-external-scripts-using-the-script-executor-job.md)
- [Troubleshooting](https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/troubleshooting.md): This section provides structured troubleshooting steps for common issues.


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