Two gaps this module fills.
Lakebase got one glossary entry. R0 tells you Lakebase is "a fully managed Postgres database integrated into the Databricks platform" and moves on. That's enough to nod in a meeting. It is not enough to answer "when would you use it, and what breaks when you do?" — which is exactly the question an interviewer or an architect will ask. Lessons 1 and 2 go deep: the Neon architecture, synced tables, connection pooling, and the honest list of what doesn't work yet.
Best practices are scattered. The docs' optimization guidance lives on a dozen pages — liquid clustering here, warehouse sizing there, Auto Loader production notes somewhere else. Lessons 3 and 4 collect the current, doc-verified recommendations per service, with the numbers attached (the 10-concurrent-queries rule, the 1 TB partitioning threshold, the 70% serverless standard-mode saving). E6 and E7 teach you how Spark tuning works; this module is the review pass — what Databricks says you should do, service by service.
Like R0, this is built to be listened to end to end — a best-practices sweep for a commute, and a fast review the night before an interview or a design meeting.
Everything here was verified against docs.databricks.com on 2026-09-03; each lesson lists the pages it draws from. Release status (GA / Public Preview / Beta) is stated wherever the docs state one.
Keeps playing into the following modules — 56 min from here to the end of the course.