Project
Databricks' unified governance layer for managing access, lineage, and security across data, files, and AI/ML assets on the lakehouse.
Databricks opened a public Beta of a Unity Catalog connector that queries Workday HR and finance data in place, without copying it. The company's own guidance keeps history-tracked reporting on its separate Lakeflow Connect ingestion path.
Reality
Databricks has released Funke, a PySpark library and streaming pipeline that parses HL7v2 messages directly into a native Spark column. Teams that use it to replace a FHIR converter or a flattening vendor take on the gold-layer field mapping themselves, sender quirks included.
Reality
Databricks made on-behalf-of-user authorization generally available in Databricks Apps, so queries run under the signed-in user's Unity Catalog permissions. Row filters and column masks apply without app code, so the builder's remaining job is choosing which identity each request carries.
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Databricks says it added UNREGISTER to the Apache Iceberg REST catalog spec, so a table can change catalogs with zero files copied. A team can only use it if the catalog it is leaving implements the call, and the post demonstrates it on Unity Catalog.
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Apache Iceberg's REST Catalog spec now lets a catalog return per-user row filters and nine column actions for a trusted engine to enforce, Databricks says. Policies that need subqueries or lookup tables do not fit that vocabulary, so the portability covers simple rules running on engines a deployment already trusts.
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Databricks' Shopify connector for Lakeflow Connect, in beta since September 22, 2026, syncs 39 Shopify tables into Unity Catalog incrementally. For a store whose data fits those tables, it can replace hand-maintained Admin API extraction code once the team clears the beta's access requirements.
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Databricks bought Row Zero, whose spreadsheets hold up to 1 billion rows, to give its Genie AI assistant a grid interface. Row Zero co-founder Nick End says people still need a familiar interface to check the results AI agents produce.
Perspective Coverage
3 publishersReality
AWS Community Builder Aki argues Apache Iceberg made data portable while permissions, auditing, lineage and sharing stay tied to each catalog. The spec leaves the atomic commit to each catalog, so the catalog is now the choice that is hard to reverse.
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S&P Global Energy says per-dataset Genie agents, bundled by a FastMCP proxy, cut launch time for conversational data products from months to days. Its governance claim rests on Unity Catalog, though part of the estate sits in sources outside Databricks.
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A dev.to account puts one weekend of Databricks serverless compute at $14,000 and traces it to a Tableau connection that polled information_schema every eight minutes, restarting a 10-minute auto-stop timer it never let expire.
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A new Iceberg REST Catalog addition lets the catalog evaluate policy for one principal and return nine column actions plus row filters for a trusted engine to apply, while the spec leaves establishing that trust to the deployment.
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Agent mode now answers through APIs and reads PDFs held in Unity Catalog volumes. That moves the analytics agent into your own application, along with the query bill and the connection you have to keep alive.
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A bundle deploy failed on a schema nobody had touched. The cause is a name prefix that isolates developers, plus an experimental flag that switches that isolation off for schemas only.
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Its SQL scripting now maps cursors, temp tables and exception handlers with near-identical syntax. The piece it calls decisive, multi-table rollback, is where the published walkthrough runs out.
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A dev.to walkthrough maps Git branches to Asset Bundle targets and stacks seven automated gates before a human approves prod. The mapping, not the YAML, is the load-bearing part.
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An August 3 release note dropped the usage-privilege requirement for MANAGE, and it applies to grants already in your metastore. Nobody had to run a GRANT for the permission to start working.
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Databricks is pitching SQL-callable AI functions as convenience. The consequential change is that predictions stop leaving the catalog, and the audit trail stops being a promise.
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