Logical data models can be used to facilitate communication and collaboration with data users and stakeholders, helping to ensure a common understanding of the data domain and its requirements.

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 ...

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.

Logical Schema. A logical data model or logical schema is a representation of the abstract structure of the information domain that defines all the logical constraints applied to the data stored.

Donna: A logical model provides key semantic and logical information around data. In using the word "logical", in this context I'm referring to the mathematical sense of the word "logic". There are ...

In the simplest terms, a logical data model is a visual representation of the business rules and requirements covering the universe-of-discourse for a given solution or enterprise, along with some ...

The preferred system may include a component for browsing and navigating the physical data model, logical data model, or the links between them, a component to answer queries about the application ...

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 ...