September 2024

  • Article

These features and Azure Databricks platform improvements were released in September 2024.

Note

The release date and content listed below only corresponds to actual deployment of the Azure Public Cloud in most case.

It provide the evolution history of Azure Databricks service on Azure Public Cloud for your reference that may not be suitable for Azure operated by 21Vianet.

Note

Releases are staged. Your Azure Databricks account might not be updated until a week or more after the initial release date.

September 30, 2024

Git folders and Repos (Legacy) now support 1GB and 20000 workspace assets per working branch.

Publish to Power BI is now generally available

September 24, 2024

The Publish to Power BI feature is now generally available. This feature allows users to seamlessly create semantic models from tables/schemas on Databricks and publish them directly to Power BI Service.

To get started, see Publish to Power BI Online from Azure Databricks.

Use @ to reference tables in Databricks Assistant prompts

September 24, 2024

To quickly reference tables in Assistant prompts, use the @ symbol.

Control external access to data in Unity Catalog using the new EXTERNAL USE SCHEMA privilege

September 18, 2024

The new EXTERNAL USE SCHEMA privilege enables you to restrict access to data in Unity Catalog when external processing engines like Iceberg clients or Microsoft Fabric use Unity Catalog open APIs or Iceberg APIs to access that data.

Create budgets to monitor account spending (Public Preview)

September 11, 2024

Account admins can now create budgets to track spending in their Azure Databricks account. Budgets can include customized filters to track spending based on workspace and custom tags. See Use budgets to monitor account spending.

Databricks extension for Visual Studio Code is GA

September 4, 2024

The Databricks extension for Visual Studio Code is now generally available. The extension allows you to connect to your remote Azure Databricks workspaces from Visual Studio Code and then easily define, deploy, and run Databricks Asset Bundles, debug notebooks and run them as jobs, run files on clusters and as jobs, and synchronize local code to your workspace, all from the VSCode IDE.

To install the Databricks extension for Visual Studio Code and quickly get started, see What is the Databricks extension for Visual Studio Code?.