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2,135 this month · 171 companies

Serverless job environments from pyproject.toml (Beta)

Beta2 days agoUnverifiedAdded Oct 24, 2026

Serverless notebook and Python script tasks can use a pyproject.toml file to configure their job environment. Configure the project environment in the Jobs UI, the Jobs API, or a bundle. Workspace admins can enable Project-Scoped Shared Compute on the Previews page . See Configure a project environment with pyproject.toml .

Topics: Notebooks, Developer tools

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Betaunverified

Microsoft Entra ID connector is available in Beta

The managed Microsoft Entra ID connector is now available in Beta in Databricks Lakeflow Connect. Use the connector to ingest Microsoft Entra ID users, groups, applications, service principals, directory roles, identity configuration, and audit and sign-in logs into Databricks.

Betaunverified

SurveyMonkey connector is available in Beta

The managed SurveyMonkey connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. Use the connector to ingest surveys, survey structure, collectors, survey responses, and contacts from SurveyMonkey into Databricks.

Betaunverified

Oracle Eloqua connector is available in Beta

The managed Oracle Eloqua connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. Use the connector to ingest marketing data such as contacts, accounts, campaigns, email and form assets, form submissions, events, and website visitors from Oracle Eloqua into Databricks.

Betaunverified

Asana connector is available in Beta

The managed Asana connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. Use the connector to ingest work management data such as workspaces, teams, projects, tasks, portfolios, and goals from Asana into Databricks. The connector uses OAuth user-to-machine (U2M) authentication.

Also shipped on Oct 22, 2026

Databricks in October 2026