Dimensional Modeling and Star Schemas

Dimensional modeling organizes an analytics warehouse into fact tables (the measurable events) surrounded by dimension tables (the descriptive context), forming a star schema. Choosing the right grain and denormalizing dimensions is what makes BI queries both fast and legible. Applied-AI interviews probe it because anyone building reporting tables, feature pipelines, or training datasets has to decide what one row means and how to join context to events.