An AI-first approach to data engineering with Lakeflow and Agent Bricks
Use Lakeflow and Agent Bricks for an AI-first data engineering workflow: ingestion, transformation, and agents in one place.
Insights
Use Lakeflow and Agent Bricks for an AI-first data engineering workflow: ingestion, transformation, and agents in one place.
Use Unity Catalog and adaptive policies to keep data governance aligned with evolving EU regulations.
Nasdaq eVestment data is available on Databricks Marketplace for asset managers and allocators.
Highlights from Databricks at MWC 2026: telco, media, and data-driven operations on one platform.
Use the TabPFN tabular foundation model on Databricks to accelerate prototyping and production ML on structured data.
Run Meta Conversions API from Databricks to activate first-party data for Meta campaigns with governance in place.
How Jefferies uses Databricks and agentic analytics to scale equity research and deliver insights faster.
How Databricks built Reffy to turn customer references into an instant, searchable knowledge base using RAG and the Data Intelligence Platform.
Lakebase is GA on Azure: serverless Postgres on the lakehouse with sync tables, Unity Catalog, and instant branching.
Version, review, and deploy AI/BI Dashboard updates with Git and Asset Bundles so dashboard changes are visible, reviewable, and reversible.