Conceptual

Build Clean Star Schemas in Power BI Using Dimension to Fact Filter Direction Best Practices

The core principle governing star schema design in relational data warehousing is that filter propagation must be unidirectional from dimension tables to fact tables (single direction) rather than bidirectional or automatic both ways. This mechanism preserves referential integrity and ensures dimensional stability by preventing attributes within one foreign key table from inadvertently filtering other dimension columns, a behavior known as filter ambiguity. The concept belongs to the domain of multidimensional database modeling and relates to the broader discipline of data engineering by enforcing best practices for star schema construction that optimize analytical query performance and user interpretability.