Integrating Databricks with Microsoft Azure Services (ADF, Synapse, Fabric)

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    Architecture / Concept Overview: Integrating Databricks with Microsoft Azure Services (ADF, Synapse, Fabric)

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    *Azure Data Factory orchestrates data movement into Databricks for processing, with results stored in ADLS Gen2 and consumed by Synapse or Fabric.*

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    *Azure services complement Databricks across orchestration, storage, analytics, and governance layers.*

    Key Terms

    Prerequisites and Setup

    • Azure subscription with Databricks workspace deployed
    • Azure Data Factory instance in the same region
    • ADLS Gen2 storage account configured as Unity Catalog storage
    • Service principal with Contributor role on the Databricks workspace
    • VNet peering configured for private connectivity (production)

    Step-by-Step Implementation

      Configuration Reference

      Integrating Databricks with Microsoft Azure Services (ADF, Synapse, Fabric) configuration options
      IntegrationAuth MethodNetworkUse Case
      ADF → DatabricksManaged Identity (MSI)VNet / PublicPipeline orchestration
      Databricks → ADLSAccess Connector / MSIPrivate EndpointData read/write
      Synapse → ADLS DeltaManaged IdentityPrivate EndpointSQL analytics on Delta
      Fabric → DatabricksDelta Sharing tokenPublic (TLS)Cross-platform data sharing
      Purview → DatabricksService PrincipalVNetLineage and governance

      Monitoring, Cost, and Security Considerations

      Common Pitfalls and Recommended Patterns

        Frequently Asked Questions