The core principle presented is **dimensional modeling consistency**, a rule within data warehousing and Business Intelligence theory which mandates that additive fact tables must share conforming, non-duplicated dimensions to ensure semantic integrity. This mechanism operates on the axiom that disparate grain-level facts should not maintain redundant dimension instances or consolidated stacked structures with null values, as these violate relational database normalization principles regarding referential consistency and query aggregability. By enforcing relationships through a single set of shared (conformed) dimensions against multiple fact tables, the model supports cross-table analysis without introducing data bloat, refresh latency penalties, or logical errors in measure correlation across different granularities.
The core principle presented is **dimensional modeling consistency**, a rule within data warehousing and Business Intelligence theory which mandates that additive fact tables must share conforming, n…