Technical Deep Dives

NextGenLakehouse Technical Deep Dives are written Databricks articles and companion videos covering the full Data and AI Platform. Each piece pairs a real production scenario with the exact Databricks feature that solves it, and links to the official Databricks documentation so you can verify the details and go deeper.

Topics span data engineering with Lakeflow and Auto Loader, table reliability and performance with Delta Lake and Liquid Clustering, governance and security with Unity Catalog, analytics with Databricks SQL and AI/BI dashboards, natural-language querying with Genie, operational workloads on Lakebase serverless Postgres, and production AI with Databricks Model Serving, Agent Bricks, Vector Search and MLflow.

New articles are published as Databricks ships features. For direct, source-backed Q&A organized by topic, see the Databricks Answers hub; for timestamped video write-ups with transcripts, see the Learn library; and browse every tutorial on the Tutorials hub.