Product Docs
  • What is Dataworkz?
  • Getting Started
    • What You Will Need
    • Advanced RAG Quickstart
      • Configure LLM's
        • AWS Bedrock
      • Connecting Your Data
        • Finding Your Data Storage: Collections
      • Ingesting Unstructured Data
      • Create Vector Embeddings
        • How to Build the Vector embeddings from Scratch
        • How do Modify Existing Chunking/Embedding Dataflows
      • Response History
    • Embed RAG into your App
    • Data Lake to Salesforce
  • Concepts
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      • Features of Lineage:
      • Viewing a dataset's lineage:
    • Discovery
      • How to: Discovery
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      • Single Dataflows:
      • Composite dataflows:
      • Benefits of Dataflows:
  • Guides
    • Working With Rag Applications
      • High Precision RAG
      • Advanced RAG - Access Control for your data corpus
      • Creating RAG Experiments with Dataworkz
      • Embedding Models
        • Privately Hosted Embedding Models
        • Amazon Bedrock Hosted Embedding Model
        • OpenAI Embedding Model
      • Unstructured Data Ingestion
        • File Ingestion
        • Html/Sharepoint Ingestion
    • Transformation Functions
      • Column Transformations
        • String Operations
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          • String Calculation Operations
          • Remove Stop Words Operation
          • Fuzzy Match Operation
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          • Copy Operation
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          • Convert Operation
          • Vlookup Operation
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          • Tiles Operation
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          • Numeric Encode Operation
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          • Copy Operation
          • Convert Operation
          • VLookup Operation
        • Boolean Operations
          • Mask Operation
          • 1-way Hash Operation
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          • Convert Operation
        • Datetime/Timestamp Operations
          • Datetime Format Operations
          • Datetime Calculation Operations
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          • Copy Operation
          • Encode Operation
          • Page 1
      • Dataset Transformations
        • Utility Functions
          • Area Under the Curve
          • Page Rank Utility Function
          • Transpose Utility Function
          • Semantic Search Template Utility Function
          • New Header Utility Function
          • Transform to JSON Utility Function
          • Text Utility Function
          • UI Utility Function
        • Window Functions
        • Case Statement
          • Editor Query
          • UI Query
        • Filter
          • Editor Query
          • UI Query
    • Working with CSV files
    • Connect to data source(s)
      • Cloud Data Platforms
        • AWS S3
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        • Oracle
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      • SaaS Applications
        • Google Ads
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        • Zoom
        • JIRA
        • Salesforce
        • Zendesk
        • Hubspot
        • Outreach
        • Fullstory
        • Pendo
        • Box
        • Google Sheets
        • Slack
        • OneDrive / Sharepoint
    • IP safelist
    • Data Prep
      • Joins
        • Configuring a Join
      • Union
        • Configuring a Union
    • Job Monitoring
    • Authentication
    • User Management
  • API
    • Generate API Key in Dataworkz
  • Open Source License Types
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On this page
  1. Guides
  2. Connect to data source(s)
  3. Cloud Data Platforms

Azure

This is how to configure a connection to azure

Steps for connecting to Azure

  1. Navigate to the configurations section of the Dataworkz platform(Gear Icon)

  2. Click on cloud data platforms

  3. Select Azure

  4. Click the + icon to add a new Azure connection

  5. Give the Storage a name

  6. Add the Account(your Azure account)

  7. Add the Key(your Azure Private sign in Key)

  8. Select the storage base path(url path to the storage location)

  9. Test the connection

  10. Once you have a successful connection, Save the configuration

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Last updated 1 year ago