The core principle is the iterative construction of temporary tables within a data modeling domain using non-respectful derivation iterators (specifically `FILTER` with `ALL`) to isolate distinct column values irrespective of existing filter context. This mechanism utilizes logical predicates based on set difference operations (`[Column] <> TargetValue`) applied row-by-row against an aggregated list of unique items derived from the source table, where only rows satisfying the exclusion condition are retained for subsequent filtering. The concept belongs to the discipline of iterative data transformation theory and relates to parent concepts like context transition and virtual column generation by enabling programmatic manipulation of filter contexts through intermediate temporary tables rather than direct function nesting.
The core principle is the iterative construction of temporary tables within a data modeling domain using non-respectful derivation iterators (specifically `FILTER` with `ALL`) to isolate distinct col…