Power BI Data Modelling: Key Concepts, Components and Best Practices Explained

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Data modelling in Power BI is the process of defining data structures, properties, and relationships to enable accurate analysis and reporting across diverse data sources. A well-designed data model improves query performance, ensures data accuracy, and supports scalability as business needs grow. The core components include fact tables, which store quantitative transactional data, and dimension tables, which provide descriptive context linked via relationships. Data can be sourced from SQL databases, Excel files, data warehouses, SharePoint, and Power BI Dataflows before being loaded and modelled. Poorly structured models with redundant records or complex relationships can slow down queries, making clean, well-organised data a prerequisite for effective modelling.

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