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25 releases of 1321

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  1. 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)
  2. 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)
  3. Reorganized Spark Declarative Pipelines on Lakeflow documentation

    Conceptual topics are now under Concepts.

    #Documentation#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  4. Genie Code now supports auto-approve for tool actions

    Approves tool actions without prompts, using an AI classifier to block risky ones.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  5. 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)
  6. 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)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Sample Data Explorer is generally available

    Lets you ask questions about Unity Catalog tables using natural language, returning SQL queries.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  9. Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon

    Deletes now retain associated tables by default, set cascade=true to remove them.

    #API#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  10. Workspace skills for Genie Code are now available

    Workspace admins can create shared skills for machine learning pipelines and domain-specific processes.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  11. Databricks Documentation site table of contents tabs

    Replaces static sidebar with tabbed navigation, includes 6 context tabs.

    #Documentation
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  12. Databricks Assistant is now Genie Code

    Adds autonomous multi-step data tasks, replaces Databricks Assistant.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  13. Change to use_case field in VPC endpoint API responses Coming soon

    Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.

    #API
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  14. Connect Databricks Assistant to MCP servers

    Connects to external tools and data sources through MCP servers, requiring permission to use added servers.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  15. Partner-powered AI features are now supported in the Canada, Brazil, and United Kingdom Azure Geographies

    Uses models hosted in the same Azure Geography as the workspace, requires cross-geo processing for some features.

    #AI/BI#Assistant#Genie Agents
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  16. Store and query MLflow traces in Unity Catalog (Beta)

    Stores MLflow traces in Delta tables for long-term retention and analysis using OpenTelemetry format.

    #Gen AI#MLflow
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  17. Create skills for Databricks Assistant

    Extends Databricks Assistant with domain-specific tasks, following the open Agent Skills standard.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  18. Databricks Assistant Agent mode is now in Public Preview

    Automates multiple steps from a single prompt, using Azure OpenAI or Anthropic.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  19. Databricks Assistant Agent mode can now use models served through Anthropic on Databricks

    Requires partner-powered AI features to be enabled. Uses endpoints hosted by Databricks.

    #Assistant
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. The Data Science Agent can now also use models served through Anthropic on Databricks

    Uses models served through Anthropic when partner-powered AI features are enabled. Requires partner-powered AI features to be enabled.

    #Assistant
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  22. Notebook improvements

    Cell execution minimap appears in right margin, supports up to 100MB notebooks.

    #Assistant#Notebook
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  23. Databricks Assistant Agent mode: Data Science Agent is in Beta

    Orchestrates multi-step workflows from a single prompt, building entire notebooks for tasks like EDA and machine learning.

    #Assistant#Notebooks
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  24. Databricks Assistant integrated with compute

    Creates compute resources, pools, and policies, and answers questions about them. Available on some compute pages.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  25. Databricks-hosted models for Assistant are now GA

    Available on all cloud platforms at no extra cost.

    #Assistant
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  26. Databricks Assistant: User and workspace instructions now available

    Custom instructions can be added by users or admins, applying to all Assistant experiences.

    #Assistant#Notebooks
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  27. Edit mode in Assistant does multi-cell code refactoring and more

    Performs reasoning and editing across multiple cells without manual intervention.

    #Assistant#Notebooks
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)

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