Master Fact vs Dimension in Data Warehouse: A Checklist for Data Engineers

A checklist-style guide covering the fundamentals of fact and dimension tables in data warehouses. Explains key characteristics of each table type, explores variants like transaction fact tables, periodic snapshots, accumulating snapshots, slowly changing dimensions, conformed dimensions, and junk dimensions. Covers integration best practices including star schema design, foreign key relationships, and query optimization. Also highlights common mistakes such as mixing descriptive data into fact tables and failing to define grain accurately.