Databricks & Delta Lake
How the lakehouse really works — the Delta transaction log, OPTIMIZE/Z-order, MERGE & SCD2, Catalyst, AQE, Photon, and Unity Catalog — interactive.
Who it's for
Data engineers and analysts working with Spark, Databricks, or Delta Lake.
What you'll learn
- Understand Delta internals — transaction log, ACID, schema enforcement
- See file optimization — OPTIMIZE, Z-ordering, VACUUM, data skipping
- Follow MERGE, SCD Type 2, Auto Loader, and Change Data Feed
- Reason about Spark execution — Catalyst, AQE, joins, Photon
Course contents
- 01Delta Lake internals
- 02File optimization & ingestion
- 03Spark execution engine
- 04Architecture & governance