How data modeling changes in a lakehouse architecture : schema-on-read, partition evolution, and building virtual semantic layers with Medallion Architecture.
Compare star schema and snowflake schema designs , when to denormalize for speed vs. normalize for storage, with practical examples and decision criteria.
Understand conceptual, logical, and physical data models : what each level contains, who owns it, and how they connect from business requirements to database implementation.
A complete guide to data modeling : what it is, the three levels of abstraction, common techniques, and why it matters more than ever for AI, analytics, and governance.
