Want one platform for all your data, analytics, and AI? The lakehouse combines the reliability and performance of a data warehouse with the openness and flexibility of a data lake - built on Delta Lake and governed by Unity Catalog on the Databricks Data Intelligence Platform.
The catalog offers five Lakehouse courses - from introductory concepts to hands-on Associate labs, most of them free. Follow the path below. ๐
Introductory ยท 1H ยท Free
Lakehouse Architecture Fundamentals
A concept-level course based on The Data Lakehouse For Dummies. Go from โnot sure what a lakehouse isโ to holding a working conversation about lakehouse architecture - the limits of legacy architectures, the core technologies, and how it enables data intelligence and unified workloads on Databricks.
Onboarding ยท 4H ยท Free
Databricks Get Started Days (Lakehouse Architecture + Data Warehousing)
A guided, instructor-led day across two tracks - lakehouse platform architecture (the well-architected lakehouse framework) and getting started with Databricks for data warehousing. Create a Free Edition account and try the follow-along demos hands-on.
Where the lakehouse meets Lakebase - serve and sync operational data in real time. Paid / subscription lab format.
Associate ยท 1H ยท Lab
Serving Lakehouse Data in Real Time with Lakebase
Serve ML features from Lakebase on the hot path. Measure why Delta cannot serve single-row reads, read features from a synced table with millisecond point lookups, and publish features to a managed online feature store.
Associate ยท 1H ยท Lab
Postgres to Lakehouse Change Data Feed (CDF)
Capture Lakebase changes back into Delta. Contrast Lakebase CDF with Delta CDF and synced tables, configure REPLICA IDENTITY FULL, interpret the five system columns in the destination Delta table, and choose among four downstream consumption patterns.
Warehouse reliability. Data lake flexibility. One open platform. Learn the lakehouse the right way with official Databricks training.
