Lakehouse Architecture (Databricks Iceberg Delta)
0 of 18 lessons complete (0%)
Exit Course
Stage One — What the Lakehouse Actually Solves
The Problem With Warehouse and Lake Alone
Preview
One Copy of the Data, Many Engines
Choosing Between the Formats
3 lessons
Stage Two — How Table Formats Work Underneath
Metadata Files and Atomic Commits
Time Travel Snapshots and Rollback
Schema and Partition Evolution
3 lessons
Stage Three — Layout and Performance
Partitioning Done Properly
Compaction Clustering and File Sizing
Statistics Pruning and Query Behaviour
3 lessons
Stage Four — Medallion Layers and Modelling
The Bronze Silver Gold Pattern
Modelling in the Gold Layer
Deletes Updates and Regulatory Erasure
3 lessons
Stage Five — Streaming and Incremental Processing
Streaming Into Lakehouse Tables
Incremental Reads and Change Feeds
Backfills Late Data and Correctness
3 lessons
Stage Six — Governance Cost and Operations
Catalogs and Access Control
Cost Control on the Platform
Operating the Platform and Career Path
3 lessons
Stage Four — Medallion Layers and Modelling
Modelling in the Gold Layer
You don’t have access to this lesson
Please register or sign in to access the course content.
Take course
Sign in
Previous
Next