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103 releases of 1321

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  1. Dashboard enhancements and bug fixes

    Converts SQL datasets to local metric views and adds parameter support to Genie Code.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Dashboard enhancements

    Supports more Tableau calculations and relationship-scoped filters.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. Dashboard enhancements and bug fixes

    Embedded dashboards now have filter APIs, and ranked table calculations are imported from Power BI and Tableau.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  4. Dashboard enhancements and bug fixes

    Hides pages from published view, adds path map visualization and customizable table column header alignment.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  5. Dashboard enhancements and bug fixes

    Import from Power BI and Tableau is now generally available. Larger Excel downloads support up to 1 million rows.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  6. Dashboard enhancements and bug fixes

    Removes duplicate subscribers from dashboard schedules, fixes duplicate emails and import issues.

    #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
  8. Custom trace views in the MLflow trace explorer are in Beta

    Genie generates views based on plain language descriptions, surfacing relevant trace fields and metrics.

    #Gen AI#MLflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  9. Dashboard enhancements and bug fixes

    Supports rich text formatting in widget titles and descriptions. Adds run history for schedules.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  10. Format AI/BI dashboard widget titles and descriptions with rich text

    Supports text styling, links, and tables via toolbar or markdown.

    #Dashboards#Visualizations
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  11. Environment variables for serverless jobs are in Beta

    Requires workspace admin to enable from Previews page.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  12. Dashboard enhancements and bug fixes

    Genie Code now creates dashboard relationships from imported BI files and supports full undo and redo.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  13. Dashboard enhancements and bug fixes

    Adds image widget, improves multi-select filters, and fixes cross-filtering and scrollbar bugs. Genie Code for dashboard authoring is now generally available.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  14. Dashboard enhancements and bug fixes

    Git folders are now generally available, and schedules can be run on demand.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  15. MLflow trace storage in Unity Catalog is now generally available

    Stores traces in OpenTelemetry format with unlimited storage and SQL query access.

    #MLflow#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  16. Scala and Java UDFs in Unity Catalog are now generally available

    Reuses existing JVM logic, offers better performance than Python UDFs.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  17. Dashboard enhancements and bug fixes

    Import BI files uses Genie Code, supports Power BI and Tableau reports.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  18. Object metadata column is now in Public Preview

    Exposes object properties like MIME type and tags, available in Databricks Runtime 18.1.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  19. Dashboard enhancements and bug fixes

    Imports Power BI and Tableau reports as AI/BI dashboards. Adds STRING_AGG function for concatenating strings.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. 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)
  22. MySQL integrated CDC pipeline is now in Beta

    Replaces separate ingestion gateway, requires single pipeline update.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  23. Parquet v2 for Delta Lake tables is generally available

    Requires Databricks Runtime 18.1 and above, set delta.parquet.format.version to 2.12.0.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  24. Dashboard enhancements and bug fixes

    Annotations can be driven by data or calculations, and 6 new preset themes are available.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  25. Dashboard enhancements

    Adds table header color customization and local metric view parameters.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  26. AUTO CDC flows for streaming tables in Databricks SQL are generally available

    Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.

    #Data Engineering#Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  27. Auto time-to-live for automatic row deletion is generally available

    Deletes rows from Delta Lake, Iceberg, and streaming tables based on a DATE or TIMESTAMP column.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  28. Converting a partitioned table to liquid clustering is generally available

    Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  29. Dashboard enhancements and bug fixes

    Gantt charts require matching start and end field types. Custom visualizations use Vega-Lite library.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  30. Lakehouse Replay (Beta)

    Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.

    #Data Engineering#Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  31. Dashboard enhancements

    Saves filter combos as shared bookmarks, adds pivot table column expansion.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  32. Dashboard enhancements and bug fixes

    Tables support banded rows and default sorting. Median and percentile expressions are added to metric views.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  33. Dashboard enhancements and bug fixes

    Adds Tableau and Power BI import, open-source fonts, and parameter values in text widgets. Supports non-table Genie Code outputs.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  34. Customer-managed keys now support MLflow managed evaluation features

    Supports MLflow 3 scorers and requires non-CMK encrypted catalog.

    #MLflow#Security
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  35. Dashboard enhancements and bug fixes

    Error bars display as bands on line charts. Custom SQL measures no longer require full name paths.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  36. Dashboard enhancements and bug fixes

    Improved error messages can be copied, and dashboards support undo and redo on the data page. Y-axis now starts at 0.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  37. Dashboard enhancements and bug fixes

    Publishing dashboards now uses service principal credentials. Line numbers are added to the SQL query editor.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  38. MLflow trace storage in Unity Catalog is now in Public Preview

    Stores OpenTelemetry traces, governed by Unity Catalog permissions, queryable from Databricks SQL or MLflow Python SDK.

    #MLflow#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  39. Spark Declarative Pipelines on Lakeflow updates are retained for 60 days

    Retention period increased from 30 to 60 days, applying to UI and REST API updates.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  40. Dashboard enhancements and bug fixes

    Tables support cross-filtering and drill-through, counters have custom prefixes and suffixes.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  41. Dashboard enhancements and bug fixes

    Delays due to warehouse overload now display a message. Fixes widget query batch failures.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  42. Metric view enhancements

    Replaces SQL mode as default for editing measures and dimensions.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)

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.