There is a built-in discrepancy between how businesses conceptualize their business domain, and how this conceptualization gets translated into concrete data models. Virtual SQL Ontologies resolve this discrepancy by delivering key capabilities to relational databases that data modeling can’t deliver, such as defining abstract concepts, business rules, context and relationships that enrich data. Data modeling …