Get the books
Two volumes. Read either standalone, or both for the complete picture.
Available on Amazon in Kindle, Paperback, and Hardcover. Kindle readers get free addendum updates as Databricks releases new platform features.
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Volume 3 · Ch 22–37 · ~800 pages
Databricks for Practitioners: The Production Lakehouse Playbook
Databricks Platform & Data Engineering
Unity Catalog, Lakeflow, and the Databricks Data Intelligence Platform, the production playbook for engineers who already know Spark.
- • Unity Catalog architecture and the three-level namespace
- • Access control, ABAC, governed tags, lineage, audit
- • Service principals, OAuth, and secret scopes
- • Managed tables, Delta Lake, Iceberg, UniForm, UC Metrics
- • Liquid Clustering and Predictive Optimization
- • Auto Loader, Lakeflow Connect, and streaming tables
$29.00 Kindle · $39.99 Paperback · Kindle eBook · Paperback · Hardcover
Volume 4 · Ch 38–58 · ~800 pages
Databricks for Practitioners: The AI Lakehouse Playbook
Databricks Platform & AI Engineering
Mosaic AI, Agent Bricks, Lakebase, and the production Lakehouse, the 2026 field manual for shipping AI systems on Databricks.
- • Databricks SQL warehouses, materialized views, Lakehouse Federation
- • AI/BI Dashboards and the Dashboard Agent
- • AI/BI Genie at production scale, grounding, certified answers, evaluation
- • AI SQL function family, ai_query, vector_search, ai_parse_document, ai_classify, ai_extract, ai_gen, ai_forecast
- • Model Serving, AI Gateway, and inference tables
- • Foundation Model APIs and external model federation
$32.00 Kindle · $39.99 Paperback · Kindle eBook · Paperback · Hardcover
Which volume first?
If you're still figuring out Unity Catalog, Lakeflow, and how to ship production pipelines on Databricks, start with Volume 3. If your platform is already in place and you need RAG, agents, MLflow 3, and the AI stack, start with Volume 4. Each is self-contained; reading both gives you the end-to-end picture, from Auto Loader to Multi-Agent Supervisor.