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
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  • Data Ingestion
  1. Manufacturing Use Case
  2. Technical Requirements

Data Ingestion

PreviousTechnical RequirementsNextData Processing (Batch Data)

Last updated 2 years ago

Data Ingestion

High-Level Feature Summary of BDB Data Center

Connect with variety of data source through Pre-built Data Connectors be it standard data warehouse, social media platform, CRM application, third party APIs etc.

  • Share, Edit & Remove Data Connector Anytime

  • Build data sets on top of data connector through basic SQL kind of query

  • Publish data sets as web service for easy data ingestion in other modules for example to use it as an input in data viz module (BDB dashboard designer), Predictive, data cleansing. Generate Xml code for debugging purpose.

  • Share, Edit & Remove Data Set/Services Anytime.

Create data store & data store meta data on elastic, provide drill hierarchy, user restrictions & create instant visualizations.

With BDB Data Pipeline, you can define data-driven workflows to get great insights and visualization for better decision making.