Data Modelling, Relationships & Joins in Power BI

Data modelling in Power BI is the process of connecting separate data sources, defining logical relationships between entities, establishing directional filter propagation paths and configuring metadata to transform raw transactional records into an analytical engine. This process is essential for reporting, analytics, and simplifying DAX calculations.

There are three primary types of schemas commonly used in Power BI: Flat Table Schema, Star Schema, and Snowflake Schema. Each schema has its advantages and disadvantages, with the Flat Table Schema being the simplest but causing data redundancy and performance issues, the Star Schema reducing redundancy and boosting query performance but lacking flexibility, and the Snowflake Schema offering a more detailed hierarchical structure at the cost of increased complexity.

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