How Data Modelling and Schema Design Shape Reliable Power BI Reports

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Data modelling in Power BI involves organising tables, keys, and relationships so that business questions can be answered accurately before any visuals or DAX measures are built. A flat-table design, as illustrated by a Kenya Crops Dataset, stores all attributes and facts in a single wide table, which is simple but becomes inefficient as data grows. The star schema, considered the preferred approach for most Power BI solutions, places a central fact table surrounded by dimension tables, balancing simplicity, performance, and maintainability. A snowflake schema further normalises dimensions into additional related tables, which is useful for shared or hierarchical data but should not be over-applied. Choosing the right schema depends on dataset size, complexity, and how long the reporting solution is expected to remain in use.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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