The core principle is that Domain-Specific Query Languages (DAX and SQL) operate under distinct semantic execution models where query logic must be decomposed into atomic functional primitives rather than linear procedural statements. Specifically, the DAX domain utilizes a context-switching function language architecture wherein table operations are defined by nested invocations of `EVALUATE`, `FILTER`, and `SUMMARIZE` functions to emulate relational algebra concepts such as projection (`SELECT COLUMN`), restriction (`WHERE/FILTER`), sorting (`ORDER BY`), and aggregation with post-aggregation filtering (`HAVING`). This theoretical framework distinguishes itself from standard SQL by enforcing that all logical operators, including aggregate filters, must be explicitly encapsulated within function arguments prior to execution, reflecting the functional programming paradigm inherent in data model analysis.
The core principle is that Domain-Specific Query Languages (DAX and SQL) operate under distinct semantic execution models where query logic must be decomposed into atomic functional primitives rather…