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Lakehouse Foundations

How the Databricks platform is put together: control plane and compute, Delta Lake as the storage format, Unity Catalog as the governance layer, and the medallion pattern everything else builds on.

Data Engineer Associate

0/9|9 written|~20 h

To doIn progressDonePlannedClick a concept to open its cardSwipe the map, tap a concept

Stage 1 · The platform

Architecture of the Data Intelligence Platform Choosing compute: all-purpose, job cluster, serverless, SQL warehouse

Stage 2 · Storage

Delta Lake, the lakehouse table format Managed and external tables

Stage 3 · Governance

Unity Catalog, the governance layer

Stage 4 · Working in the lakehouse

Medallion architecture: bronze, silver, gold Git folders: branches, commits, pull requests Notebooks Workspace files and volumes

Start here if Databricks is new to you. Seven concepts that make every other path readable: what runs where, what a table really is, who is allowed to read it, and how raw data becomes something a dashboard can trust.

After this path, pick Data Engineering to build pipelines or Governance & Security to go deeper on Unity Catalog.

Resources for this path

Courses, books and repos that cover the whole map go here. None have been added yet; per-concept resources appear on each concept page.