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Core
Dimensional Modeling and Star Schemas
Dimensional modeling arranges 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 keeps BI queries both fast and legible. AI, ML, and GenAI 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.
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RELATED CONCEPTS
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