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 how to create, validate, and maintain your logical data model from your conceptual data model using techniques such as entity-relationship modeling, data normalization, testing, and more.

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.

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 ...

A key requirement for many users of the object model for Common Data Model is to represent different optimal storage layouts from one semantic, logical model. They need to store data in the form that ...

"Using the Teradata Utilities Logical Data Model, one large North American energy provider captured the recommended data and has already identified more than $10 million in recoverable revenue from ...

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 ...

Logical data model provides underlying structure for communication companies` customer relationship management information needs. By Alison Bull Communications. Johannesburg, 10 May 2001.

A logical entity definition may reference (reuse) other object definitions to better organize or factor a data model. For example, an entity may extend another entity, include entity-typed attributes, ...