Weekly Databricks

What shipped

• Genie and AI/BI experiences: Scheduled tasks for consumer entitlement users : Consumer entitlement users can now create scheduled tasks without needing the SQL entitlement. See Scheduled tasks . (18 Jun)
• Genie and AI/BI experiences: Table header color customization : Authors can now set font color, background color, and text formatting for table column headers. (18 Jun)
• Publishing a Unity Catalog catalog to Microsoft Fabric is in Public Preview: You can publish an entire Unity Catalog catalog from Azure Databricks to Microsoft Fabric as a read-only mirrored catalog. (18 Jun)
• Token auto-scoping for personal access tokens: Token auto-scoping is now generally available. Auto-scoping automatically applies the principle of least privilege to personal access tokens (PATs) by observing which API endpoints a token uses and narrowing… (18 Jun)
• Genie and AI/BI experiences: Providers can now share a Genie Space with users outside their organization using OpenSharing. (17 Jun)
• Governance and compliance controls: Rolling out starting June 22, the statement_text column in system.query.history returns for users who are not account admins or members of the databricks_pii_access account-level group. (17 Jun)
• Agentic development workflows: Omnigent is now available in Beta. Omnigent is a coding agent meta-harness that wraps coding agents such as Claude Code and Codex with a common platform: a web UI, persistent and shareable sessions, team… (17 Jun)
• OneLake catalog federation is generally available: OneLake catalog federation is now generally available . OneLake federation allows you to read data stored in OneLake without copying it, bringing Azure Databricks analytics and AI/BI capabilities directly to… (17 Jun)
• Lakeflow pipeline operations: Lakeflow Designer will be available by default for workspaces with the compliance security profile enabled in late July 2026. (16 Jun)
• Lakeflow pipeline operations: Lakeflow Designer is now generally available. Lakeflow Designer is a visual, no-code experience for preparing and transforming data on a drag-and-drop canvas, with all workflows backed by production-ready… (16 Jun)
• Genie and AI/BI experiences: You can now connect Genie to Microsoft Copilot Cowork through the Genie managed MCP server, so users can ask natural-language questions about their Azure Databricks data without leaving Copilot Cowork. (16 Jun)
• Marketplace and app extensibility: You can now discover, install, and run third-party data and AI applications from Databricks Marketplace directly in your own Unity Catalog-governed workspace. (16 Jun)

Why it matters

• Genie and AI/BI experiences: Databricks is expanding conversational analytics and workspace-native AI experiences for business users.
• Genie and AI/BI experiences: Databricks is expanding conversational analytics and workspace-native AI experiences for business users.
• Publishing a Unity Catalog catalog to Microsoft Fabric is in Public Preview: You can publish an entire Unity Catalog catalog from Azure Databricks to Microsoft Fabric as a read-only mirrored catalog.
• Token auto-scoping for personal access tokens: Token auto-scoping is now generally available. Auto-scoping automatically applies the principle of least privilege to personal access tokens (PATs) by observing which API endpoints a token uses and narrowing its…
• Genie and AI/BI experiences: Databricks is expanding conversational analytics and workspace-native AI experiences for business users.
• Governance and compliance controls: The platform is tightening controls around sensitive metadata, audit trails and compliance-profile behaviour.
• Agentic development workflows: Databricks is adding more agent and Copilot-adjacent tooling around coding, analytics and workspace productivity.
• OneLake catalog federation is generally available: OneLake catalog federation is now generally available . OneLake federation allows you to read data stored in OneLake without copying it, bringing Azure Databricks analytics and AI/BI capabilities directly to your…
• Lakeflow pipeline operations: Lakeflow updates continue the push toward lower-friction data engineering and managed pipeline design.
• Lakeflow pipeline operations: Lakeflow updates continue the push toward lower-friction data engineering and managed pipeline design.
• Genie and AI/BI experiences: Databricks is expanding conversational analytics and workspace-native AI experiences for business users.
• Marketplace and app extensibility: Databricks is making more partner and third-party functionality available directly inside the platform.

How data teams could use it

• Genie and AI/BI experiences: Analytics teams can test where Genie reduces ad hoc report queues while keeping governed metrics and permissions in place.
• Genie and AI/BI experiences: Analytics teams can test where Genie reduces ad hoc report queues while keeping governed metrics and permissions in place.
• Publishing a Unity Catalog catalog to Microsoft Fabric is in Public Preview: Assess whether it affects platform governance, data engineering productivity, AI/BI adoption, sharing controls or workspace operations.
• Token auto-scoping for personal access tokens: Assess whether it affects platform governance, data engineering productivity, AI/BI adoption, sharing controls or workspace operations.
• Genie and AI/BI experiences: Analytics teams can test where Genie reduces ad hoc report queues while keeping governed metrics and permissions in place.
• Governance and compliance controls: Security teams should check whether monitoring, troubleshooting or audit workflows need adjusting as redaction and compliance defaults change.
• Agentic development workflows: Engineering leads can trial these features on low-risk workflows and define review gates before allowing production code or pipeline changes.
• OneLake catalog federation is generally available: Assess whether it affects platform governance, data engineering productivity, AI/BI adoption, sharing controls or workspace operations.
• Lakeflow pipeline operations: Data teams can assess whether visual design, compliance-profile support or GA readiness changes the build-vs-code path for new pipelines.
• Lakeflow pipeline operations: Data teams can assess whether visual design, compliance-profile support or GA readiness changes the build-vs-code path for new pipelines.
• Genie and AI/BI experiences: Analytics teams can test where Genie reduces ad hoc report queues while keeping governed metrics and permissions in place.
• Marketplace and app extensibility: Platform owners should review app install controls, procurement flow and security review before enabling broad adoption.

Editorial read

Databricks is continuing to package the lakehouse as an operating layer for data products: more AI/BI entry points for business users, more managed pipeline tooling for engineers, and more governance around sharing, audit data and external access. The practical theme is adoption with controls: turn on the useful productivity features, but pair them with app governance, metric ownership and security review.