Power BI Data Modeling Explained: Schemas, Relationships, and Joins
Data modeling in Power BI involves creating visual representations of how tables connect and how filters flow between them, forming the backbone of accurate reporting. A data model is built from two core table types: fact tables, which store transactional data like sales or orders, and dimension tables, which provide descriptive context such as customers, products, and dates. The star schema is the recommended structure in Power BI, placing a single fact table at the center with dimension tables radiating outward, each linked directly to it. Getting this structure right ensures visuals update correctly and totals remain accurate, while a poorly designed model can produce inflated figures and unresponsive filters. Understanding these foundational concepts helps analysts build reliable, scalable dashboards aligned with organizational reporting goals.
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