The core principle governing this domain is that row-by-row calculations within a table context must utilize iterative aggregation functions like `SUMX`, whereas simple column aggregations use non-iterative functions like `SUM`. Formally defined in the Discipline of Data Analysis and Power BI, the rule dictates that operations involving multiple columns (e.g., Quantity × Unit Price) require element-wise processing at the granular record level to preserve logical integrity before aggregation. Conversely, single-column summation or counting relies on direct columnar evaluation without row-by-row iteration. This concept belongs specifically to Domain of DAX Functional Theory within Business Intelligence, establishing a theoretical boundary between scalar aggregation and iterator functions based on operand multiplicity and processing granularity.
The core principle governing this domain is that row-by-row calculations within a table context must utilize iterative aggregation functions like `SUMX`, whereas simple column aggregations use non-it…