The core principle involves the abstraction of low-level data entities into a physical schema within a multidimensional analysis engine to support semantic querying. Formally defined by concepts such as "physical tables," "data models," and "summary queries," this mechanism enables the transition from raw storage structures to optimized calculation contexts for aggregated measures like total kilograms. Theoretically situated in the domain of Business Intelligence, specifically Data Analysis Expressions (DAX) theory, it illustrates how a general-purpose query engine processes logical definitions against stored relationships without requiring explicit knowledge of underlying text or implementation syntax by the end-user.
The core principle involves the abstraction of low-level data entities into a physical schema within a multidimensional analysis engine to support semantic querying. Formally defined by concepts such…