7.6
  • What's New in the BDB 7.6?
    • Core Platform
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    • Platform Administration
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    • Users & Roles
      • User Security Page
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      • Various User Roles
        • Viewer Role
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      • User Status
  • Data Center
    • Homepage
    • Data Virtualization
    • Data Connectors
      • Creating a Data Connector
      • Data Connector List
        • Edit Data Connectors
        • Create Option
        • Reconnecting to a Data Connector
        • Sharing a Data Connector
        • Delete a Data Connector
      • Supported Data Connectors
        • Database Connectors
          • MySQL
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          • PostgreSQL
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          • API Connector
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    • Data Sets
      • Creating a New Data Set using RDBMS Connector
      • Creating a Data Set using Arango DB Connector
      • Creating a Data Set using an API Connector
      • Creating a New FTP Data Set
      • Creating a Data Set based on an Elastic Connector
      • Data set list page
        • View Options: Data Sets List Page
        • Data Set List: Actions
    • Data Stores
      • Creating a New Data Store
        • Data Store using an RDBMS Connector
        • Data Store using a Flat File Data Connector
        • Data Store using an API Data Connector
      • Adding Synonyms to a Datastore
      • Data Stores List
    • Data Store Meta Data
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    • Data Sheets
      • Creating a Data Sheet
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        • Entering Data
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    • Data Catalog
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      • Data Sandbox List Page
        • Uploading File Status
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    • Data as API
    • Data Preparation (Beta Release)
      • Accessing the Data Preparation Option
      • Data Preparation Workspace
        • Data Grid
          • Data Grid Header
          • Data Quality Bar in the Grid
        • Profile: Summary Pane
          • Charts
          • Info: Values/Statistics
          • Pattern
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        • Steps
      • Data Preparation List
        • Rename
        • Edit
        • Delete
  • Data Science Lab
    • What is Data Science Lab?
      • Design Philosophy
      • What is a DSL Project?
    • Getting Started
      • Accessing the DS Lab Module
    • Start your Data Science Experiment with DS Lab
    • Project
      • Creating a Project
      • Keep Multiple Versions of a Project
      • Sharing a Project
      • Editing a Project
      • Activating a Project
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      • Deleting a Project
      • Various Tabs to work with
        • Notebook
          • Ways to Access Notebook
            • Creating a Notebook
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          • Notebook Page
            • Notebook Cells
              • Using a Code Cell
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          • Notebook List Page
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        • Dataset
          • Adding Data Sets
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            • Create Experiment
            • Data Preparation
            • Delete
        • Utility
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          • Export to GIT
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            • Register a Model as an API
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        • Auto ML (Alpha Release)
          • Creating Experiments
            • Accessing the Create Experiment Option
              • Configure
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          • AutoML List Page
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              • Details
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                • View Explanation
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                  • Dataset Explainer
            • Delete
  • Data Pipeline
    • About Data Pipeline
      • Design Philosophy
      • Low Code Visual Authoring
      • Real-time and Batch Orchestration
      • Event based Process Orchestration
      • ML and Data Ops
      • Distributed Compute
      • Fault Tolerant and Auto-recovery
      • Extensibility via Custom Scripting
    • Getting Started
      • Homepage
        • List Pipeline
        • Creating Pipeline
          • Adding Components to Canvas
          • Connecting Components
          • Events [Kafka and DB Sync]
          • Memory and CPU allocations
        • List Components
        • Delete Orphan Pods
        • Scheduler
        • Data Channel
        • Settings
      • Pipeline Workflow Editor
        • Pipeline Toolbar
        • Component Panel
        • Right-side Panel
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    • Components
      • Adding component to worflow
      • Component Architecture
      • Component Base Configuration
      • Resource Configuration
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      • Readers
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      • Writers
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        • RDBMS Writer
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      • AI/ML
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      • Transformation
        • SQL Component
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    • Version Control
    • Use Cases
  • Data Visualization
    • Self Service
      • Getting Started
        • What is Story?
        • Creating a new Story
          • Accessing the Story Module
            • Creating and Updating Instance
          • Designing a View
      • Design Workspace
        • Guided Tour
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      • Actions
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      • About Dashboard Designer
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        • Accessing the Designer Module
        • Overview of Designer Module
          • Homepage
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              • New
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      • Connecting to a Data Source
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        • Establishing a Data Connection
          • CSV Connection
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            • Data Sheet Enhancements
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      • Charts Gallery
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      • Script Help Section
        • Navigate to Script Help page
        • How to use Scripts?
  • Survey
    • Accessing Survey Module
    • Creating a Survey
      • Creating a New Survey
      • Creating a New Survey using Template
    • Survey Builder: Designing a Survey
      • Questions
        • Inserting a Question
        • Available Question Types
        • Deleting a Question
      • Page
        • Inserting a New Page
        • Editing an Existing Page
      • Survey Options
      • Properties
      • Theme
      • Saving a Survey
    • Publishing a Survey
      • Providing the Publish Survey Information
      • Collectors
        • Accessing the Collector Options
        • Creating a Collector
          • Creating a Weblink Collector
          • Creating an Email Collector
            • Adding Recipient to an Email Collector
        • Editing Collector(s)
        • Deleting Collector(s)
    • Analyzing Result for a Survey
      • Creating a New View in the Analyze Result
      • Filter Rule in the Analyze Result
        • Creating a Filter
        • Filter Types
      • Show/Hide Rules for Page/Questions
    • More Options
      • Preview Survey
      • Benchmark
        • Editing a Benchmark
        • Benchmark Goals
          • Adding a Goal to Benchmark
          • Editing a Benchmark Goal
          • Deleting a Benchmark Goal
        • Questions for Benchmark Goals
          • Adding Questions to a Benchmark Goal
          • Viewing a Goal Question
          • Deleting a Goal Question
      • Managing Datamart
        • Creating a Datamart
        • Implementing Scheduler for Datamart
        • Other Options
      • Copying a Survey
      • Survey Summary
      • Deleting a Survey
    • Contacts
      • Creating a Contact Group
        • Editing a Contact Group
        • Deleting a Contact Group
      • Creating New Contacts
        • Creating New Contacts (Manually)
        • Uploading Contacts from a CSV file
      • Listing a Contact
    • Survey Template
  • Forms
    • Accessing the Forms Module
    • General Workflow for Forms
      • Creating a Form
      • Listing a form
      • Form Page Component
      • Page Settings
        • Rename
        • Duplicate
        • Delete
      • Question
        • Duplicate
        • Delete
        • Properties
          • Properties
          • Condition
          • Look up
      • Form Preview
      • Publishing a form
        • Options Context Menu
          • Open in New Tab
          • Properties
          • Modifying a form
          • Adding a form to favorite
          • Moving a form
          • Renaming a form
          • Coping a form
          • Deleting a form
      • Form Response
        • Filter Response
          • Filtering Responses by Page
          • Filtering Responses by Date
          • Filtering Responses by Users
      • Form Settings
        • Properties
          • Status
          • Configuration
        • Theme
          • Form Header Theme
          • Page Header Theme
          • Form Body Theme
        • Form Instruction per User
    • Form Options
      • Edit
      • Delete
      • Duplicate
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On this page
  • Applying Dynamic Filter in an RDBMS Data Set
  • DATA Protection
  • Restricting Displayed Data for End Users via Data Set

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  1. Data Center
  2. Data Sets

Creating a New Data Set using RDBMS Connector

PreviousData SetsNextCreating a Data Set using Arango DB Connector

Last updated 2 years ago

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Check out the given walk-through on how to create a Data Set using the RDBMS Data Connector.

This section explains the steps to create a new Data Set.

  • Navigate to the Data Center homepage.

  • Click the New option.

  • Select the Data Set option from the context menu.

  • The Data Source page opens.

  • The Data Connectors list gets displayed.

  • Search for a Data Connector using the Search Data Connectors bar.

  • with the Create Data Set Action icon (+) for all the available data connectors.

  • The Data Set page opens with the Configuration fields.

    • Service Name: Enter any user-defined name for the new data set.

    • Description: Provide a brief description of the Data Set (optional).

    • Data Connector Name: This is a pre-defined field based on the selected data connector.

    • Database Name: This is a pre-defined field based on the data connector chosen earlier.

  • Query: Write a valid query service in the given space (Use Ctrl+Space keys for assistance in writing a query).

  • Table Information: On the right side of the page Table information is displayed and that will contain all the tables in the Data base and the Column name in the table. Double click in the Table or Column will auto generate a sample query so that user can validate and get data.

  • Click the Validate option to execute the new Data Set.

  • If the query contains filters, then on the right-side filter column will appear.

  • Click on the Continue button then query will execute.

  • A message appears to inform the successful execution.

  • The data preview appears at the bottom of the page.

  • The Save option gets enabled.

  • A notification message appears to assure completion of the action.

  • The newly created Data Set gets added to the ‘Data Sets’ List.

Edit/View

To edit or view the Data Set fields

Publish

To publish a Data Set

Share

To share a data set to the selected user(s) or group(s) or to exclude the selected user(s)/user group(s) from the rights to see a Data Set.

Push to VCS

User can push different version of the same data set, this can be downloaded and replace the existing data set in future if required.

Pull from VCS

This is the Data set version control system, so User can download required Data set version that Pushed to VCS.

Delete

To remove the selected Data Set from the list

Please Note: At present the Edit, Publish, and Deleted icons are provided under the More Actions icon.

Applying Dynamic Filter in an RDBMS Data Set

The user can insert dynamic filter conditions via the query service to an RDBMS Data Set.

  • Navigate to the Data Set form for any RDBMS connector.

  • Enter the filter condition to the Query section.

  • Click the Validate option.

  • Right side dialog window opens, asking for the filter value.

  • Enter a filter value.

  • Click the Continue option.

  • The data preview of the filter data displays at the bottom of the page.

  • Click the Save option to save the Data Set form.

  • The newly created dataset gets saved with the filter value under the Data Sets list.

Please Note: Please Note:

  • Use the CTRL+ Space keys to get assistance while writing a query.

  • The user can customize the Data Sets list by Data Connector Type, Data Connector, and Publish Status. These customization options are provided on the top of the Data Sets List page.

DATA Protection

In data set validation page there is one more option is available for Data protection, This will provide different type of security for the Data we are providing.

Rule Types

  • Redaction

    • Full/ Partial reduction is available

    • Redaction Type/Mask Type partial option user can decide the length and the starting point

  • Masking

    • User can apply the masking and decide the length and starting point for masking

    • The Masking character can be decided.

  • Hashing

    • Three types of Hashing is available

      • SHA 25

      • SHA 384

      • SHA 512

  • Date Generalization

    • Year, Month, Quarter, Week Options are available for data generalization.

  • Appy Data protection :

Restricting Displayed Data for End Users via Data Set

BDB Platform provides an option to control data display for the Dashboard end-users.

Please Note: Data Restriction through Data Service (Data Set) is interconnected with multiple platform plugins. The precondition for this feature is that the users should possess a good understanding of all the involved BDB Platform modules and the Dashboard Designer plugin.

  • Create a Custom Field using the Configuration and settings admin section.

  • Create a Data Set using the ENV with the selected Custom Field Key.

  • Create a Dashboard using the Data Set.

  • Publish the Dashboard to the portal.

  • Open the Dashboard (it opens in preview mode by default as displayed below).

  • Create a new user (using the Security module) and pass the Custom Field value/ Update an existing user passing the Custom Field Value.

  • Share it to another Platform user via the Share with User option.

  • Access the dashboard from the updated user’s account to whom it was shared.

  • Open the shared dashboard; the dashboard displays only permitted data by the admin.

Please Note: The Publish icon beside a Data Set name suggests that the data set has been published.

Click the ‘Help Center’ icon from the Data Set form to get rules regarding the formation of a query. The query formation rules get displayed in a new pop-up screen.