Summary
Data modeling structures business requirements into fact tables for transactions and dimension tables for context, enabling queries to answer business questions. Acing data modeling interviews requires mastering Kimball's dimensional modeling concepts like star/snowflake schemas and slowly changing dimensions, then systematically practicing diverse real-world examples by identifying business processes, events, entities, and table attributes.
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