Data modeling determines how usable your data warehouse is. Bad models make simple queries hard.
What you'll learn:
- Normalization and when to break it
- Dimensional modeling (star/snowflake)
- Slowly changing dimensions
- Fact vs dimension tables
- Grain and granularity
Interview reality: "Design a schema for X" is one of the most common interview questions. You need a framework for answering.