Pre Sales
  • BDB Pre Sales
  • Manufacturing Use Case
    • Introduction
    • How is BDB different than Azure, AWS, or GCP?
    • Project Definition and Requirements
      • Functional Requirements
      • Technical Requirements
      • Non-Functional Requirements
      • Project Deliverables
    • Functional Requirements from Manufacturing
    • Technical Requirements
      • Data Ingestion
      • Data Processing (Batch Data)
      • Data Processing (Real-Time Data)
      • Data Preparation
      • Data Store(Data Lake)
      • Data Store (Enterprise Datawarehouse)
      • Query Engine
      • Data Visualization
      • BDB Search
      • Advanced Analytics and Data Science
    • Data Services
    • Security Requirements
    • Networking Requirements
    • Operational Requirement
    • Non-Functional Requirements
      • Scalability
      • Availability
    • Data Platform Benchmarking
    • Hardware Sizing Requirements
  • Data Platform Evaluation Criteria
    • Data Preparation
    • Data Platform Evaluation Highlights
    • Data Pipeline
    • Ingestion Connector
      • Seamless Handling of Data ops and ML ops
    • Ingestion Process
      • Building a path from ingestion to analytics
    • Data Preparation
      • Processing Modern Data Pipeline
  • BDB POC Approach
  • BDB Vertical Analytics
  • Technical FAQs
    • Data Platform
    • Administration
    • Data Security & Privacy
    • Analytics
    • Data Preparation
    • Data Pipeline
    • Dashboard Designer
    • Business Story
    • Performance & Scalability
    • Global and Embeddable
    • Deployability
    • User Experience
    • Support & Licensing
    • AI
    • Change Management
Powered by GitBook
On this page
  • Does the BDB Platform contain Data Extraction and transformation and management option?
  • Does the BDB Platform contain a self-service Data Preparation module?
  • Does the BDB Platform provide the option to highlight and clean the data automatically with various rules like; missing value, spaces, inconsistent value, duplicate column/rows, all null/zeros, etc?
  • Does the BDB Platform contain various data transformation options based on column data type, change the data type, aggregate data type, etc.?
  • Data Preparation Features
  1. Technical FAQs

Data Preparation

PreviousAnalyticsNextData Pipeline

Last updated 2 years ago

Does the BDB Platform contain Data Extraction and transformation and management option?

Does the BDB Platform contain a self-service Data Preparation module?

Does the BDB Platform provide the option to highlight and clean the data automatically with various rules like; missing value, spaces, inconsistent value, duplicate column/rows, all null/zeros, etc?

Does the BDB Platform contain various data transformation options based on column data type, change the data type, aggregate data type, etc.?

Yes, the self-service BDB Data Preparation helps in the instant cleansing of data with its excel-like UI. Interactive Interface like Excel for Visual profiling & transformation. Enables non-technical users to perform over 60+ data transformations. Integrated with the Data Pipeline module so that the transformed data can be extracted in a Pipeline Workflow.

Data Preparation Features

  • Data in familiar grid format & basic anomaly detection as soon as data is uploaded.

  • 60+ data transformations for basic as well as advanced data cleansing.

  • Smart features like history tracking of operations for redo/undo/ replay.

  • Extract clean data.

  • Store or data pipeline for real-time data cleansing.