Databricks

Volume 343, Issue 1 · 6 articles

In This Issue

• Lakebase and Agentic SDLC: Branching Databases for Coding Agents
• Load Terabytes of Data in Minutes Into Lakebase Postgres
• Introducing Funke: Native HL7v2 Parsing on Databricks
• Set Budgets and Alerts for Cloud Data Warehouse Costs
• Now GA: Building Permission-Aware Databricks Apps with On-Behalf-of-User Authorization
• How to Build Governed Enterprise Apps on Databricks with Replit and Lakebase

Lakebase and Agentic SDLC: Branching Databases for Coding Agents (Databricks, Thursday, October 8th, 2026)

Databricks shows how Lakebase copy-on-write branching gives each parallel coding agent its own isolated database. Read more

Load Terabytes of Data in Minutes Into Lakebase Postgres (Databricks, Thursday, October 8th, 2026)

Databricks' LTAP architecture lets Spark build Postgres pages and indexes in parallel, loading data into Lakebase up to 147x faster. Read more

Introducing Funke: Native HL7v2 Parsing on Databricks (Databricks, Thursday, October 8th, 2026)

Databricks open-sources Funke, which parses HL7v2 health messages into native Spark types while keeping their full hierarchy. Read more

Set Budgets and Alerts for Cloud Data Warehouse Costs (Databricks, Wednesday, October 7th, 2026)

Databricks lays out how to tag SQL warehouses, set layered budgets and use pacing alerts to stop month-end cost surprises. Read more

Now GA: Building Permission-Aware Databricks Apps with On-Behalf-of-User Authorization (Databricks, Wednesday, October 7th, 2026)

On-behalf-of-user authorization for Databricks Apps is now GA, letting apps act with the signed-in user's own data permissions. Read more

How to Build Governed Enterprise Apps on Databricks with Replit and Lakebase (Databricks, Thursday, October 8th, 2026)

Databricks explains how teams use Replit Agent on live Databricks data to build and deploy governed apps with Lakebase. Read more

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