Matching your logical and conceptual data models is important for several reasons. First, it ensures that your data model is consistent and coherent, and that it reflects the business needs and ...

A logical data model is a more detailed and structured representation of an organization's data requirements, focusing on translating the conceptual data model into a form that can be implemented ...

Data modeling has always had a push-me/pull-you relationship in the IT world. The idea of complete logical and physical data models, insightful definitions, coherent data flow diagrams, and other ...

Yes, a data model must include the visual representation of ;the data (such as an entity/relationship diagram), but it also must be backed up by metadata. A model without metadata might as well be ...