Master Fact and Dimension Table Design: Best Practices for Data Engineers

A guide to designing fact and dimension tables in data warehouses, covering key best practices such as defining grain, using surrogate keys, keeping fact tables narrow, and avoiding descriptive attributes in fact tables. Also covers dimension table strategies including surrogate keys, data type uniformity, hierarchy design, and handling slowly changing dimensions (SCD Types 1-3). Common pitfalls like mixing facts and dimensions, overloading dimension tables, and skipping documentation are addressed.