The core principle governing Physical Table Derivation in analytical data models is that such objects are strictly dependent on the active Filter Context to determine their visible scope. Formally defined within DAX (Data Analysis Expressions) theory, a physical table derivation creates an implicit virtual table containing only rows currently evaluated as visible by intersecting existing filters rather than returning all stored rows regardless of context. This mechanism ensures that subsequent iterators and revisors process data consistent with the specific subset of the model state at any given moment, distinguishing static storage from dynamic contextual visibility rules.
The core principle governing Physical Table Derivation in analytical data models is that such objects are strictly dependent on the active Filter Context to determine their visible scope. Formally de…