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Databricks releases, every cloud

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6 releases of 1321

Last updated

  1. Governance Hub is in Beta

    Enables monitoring of data health and AI usage, requires account admin enablement from Previews page.

    #Administration
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  2. Dashboard relationships (Public Preview)

    Builds complex multi-fact data models for AI/BI dashboards.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  3. Managed disaster recovery is now in Public Preview

    Replicates metadata, table data, and workspace assets to a secondary region. Requires account team enablement.

    #Administration
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  4. Mission Critical add-on is now in Public Preview

    Unlocks managed disaster recovery and ESC for a single compute rate, enabled per workspace.

    #Administration
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  5. Data Classification (Public Preview)

    Supports all catalog types, consolidates results into a system table.

    #Data Classification
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  6. Dashboard external embedding Public Preview and new custom calculations functions

    Adds ln, log, log10, and round functions, increases custom calculations limit to 200 per dataset.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs

Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.