Forty-two connected, interview-focused lessons across twelve topics — told as one story. Data lands in the lakehouse, is stored in Delta and kept fast, is transformed by Lakeflow pipelines, orchestrated into jobs, governed by Unity Catalog, shared and served through Databricks SQL, and finally shipped with Asset Bundles. Every lesson is a self-contained interactive page with a markdown companion and, where it helps, a runnable notebook.
The twelve topics follow one flow — the journey of data through the lakehouse. Click each stage to see what it does and which lessons cover it. Foundations (Topic 01) sit under the whole thing; the DE Associate certification (Topic 12) validates it at the end.
From raw files landing in cloud storage to a governed, production-shipped pipeline.
The vocabulary and mental model the whole track rests on — what a lakehouse is, how the platform is wired, and the medallion pattern.
The open storage format under every table: the transaction log and how you write to it, then how Databricks lays out, skips, and maintains that data so queries stay fast.
Getting data in — Auto Loader, COPY INTO and managed connectors — then transforming it with declarative pipelines, the visual Designer, and data-quality expectations.
Turn pipelines into scheduled, monitored production workflows — then put the whole lakehouse under one governance and security model with Unity Catalog.
Get governed data out to consumers — share it across orgs, query external systems in place, and serve analysts through SQL Warehouses, dashboards and Genie.
Take it to production the software-engineering way — Asset Bundles, Git and Databricks Connect — then map everything to the DE Associate exam and close the gaps.
The suggested order and self-check questions, plus a compact index of all 42 lessons if you'd rather scan than scroll.