Power BI Data Modelling Explained: Schemas, Relationships, and Joins Guide

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A technical guide published on DEV Community outlines the core principles of data modelling in Power BI, covering schemas, fact and dimension tables, relationships, and joins. The article explains that a well-designed data model is the foundation of any performant and scalable Power BI report, enabling accurate reporting and efficient DAX calculations. It describes three schema types supported by Power BI: flat, star, and snowflake, detailing the structure, advantages, and drawbacks of each. Flat schemas store all data in a single wide table and suit small datasets, while star schemas use a central fact table linked to dimension tables and are optimised for Power BI's VertiPaq engine. The guide is aimed at developers and analysts seeking practical guidance on structuring real-world Power BI solutions effectively.

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