How Power BI Uses Data Modelling, Relationships and Joins to Handle Complex Data

Power BI is Microsoft's business analytics and data visualization platform, capable of connecting data from over 100 sources including Excel, SQL databases, and cloud services. Unlike Microsoft Excel, which struggles with large and complex datasets, Power BI is designed to process, link, and present such data efficiently through interactive dashboards. A key part of working with Power BI involves data modelling — the process of structuring and connecting tables so data can be analyzed accurately and at scale. Two primary modelling approaches exist: the flat table, which consolidates all data into a single denormalized table, and the star schema, which links a central fact table to surrounding dimension tables. The star schema is the recommended approach in Power BI due to its faster performance, simpler DAX calculations, and reduced data redundancy.
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