How Data Modeling, Schemas, and Joins Shape Power BI Report Performance

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A practical guide published on DEV Community explains core data modeling concepts in Microsoft Power BI, a business intelligence tool used to connect data sources and build reports and dashboards. The article compares three structural approaches — flat table, star schema, and snowflake schema — outlining the roles of fact and dimension tables in each design. It highlights why a well-structured data model matters, noting that poor design leads to slow performance, inflated file sizes, and inaccurate report figures. The guide also covers how relationships and filter direction operate within the data model, and how Power Query joins differ from model-level relationships. A recommended approach for structuring a typical BI solution is included, with star schema presented as a scalable and report-friendly option despite its data redundancy trade-offs.

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