Conceptual

Extract Payment and Junk Dimensions from Fact Tables in Power BI

The core principle governing this domain is **Dimensional Modeling**, specifically the rule that fact tables must maintain a clean star schema structure by excluding descriptive attributes and grouping them into separate dimension tables. When related columns sharing a common identity are identified within facts, they constitute candidates for a standalone dimension; conversely, unrelated low-level flags or binary states found in facts should be aggregated into a single **Junk Dimension** to preserve referential integrity. This mechanism enforces the theoretical boundary between transactional data (facts) and descriptive context (dimensions), ensuring that one-to-many relationships are strictly maintained without introducing many-to-many associations within the analytical model.