A logical data model is a high-level representation of your data that focuses on the concepts, entities, attributes, and relationships that are relevant to your business domain.

Learn the best practices for converting a logical data model to a physical data model in a RDBMS, including schema definition, normalization, denormalization, optimization, and validation.

Analysis Phase – Develop a Logical Data Model. This step is obviously the crucial starting point. There is no substitute for business knowledge. Any team that does not know the business has no ...

Donna: The physical model is designed for a particular database platform, such as Oracle, SQL Server, Sybase, etc. A logical model, on the other hand, sits between the conceptual/business layer and ...

Deliverable A. Basic Conceptual Data Modeling: In the basic conceptual data modeling task, I create an entity-relationship diagram using two entities: CLASSROOM and COURSE. Each entity has its ...

With conceptual modeling in practice largely taking the role of preliminary sketching or scope definition, the issue becomes one of drawing the boundary between logical and physical modeling – the ...

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

Simply put, a logical data warehouse stands in contrast to a physical data warehouse where "all" data is consolidated into a single physical database before use. A logical data warehouse allows data ...

The first step in transforming a logical data model into a physical model is to perform a simple translation from logical terms to physical objects. Of course, this simple transformation will not ...