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.

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.

And yet, I remember that modelling the current physical and logical models of, in particular, the data we were processing was how I convinced my business users that I understood their needs. And I ...

There are three stages of data modeling, with each stage pertaining to its own type of data model – conceptual data models, logical data models and physical data models. Organizations that take a ...

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.

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.

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 ...

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, ...

The success or failure of your data modeling efforts is directly linked to this rationalizing of the business. A data model that accurately describes the organization will be considered good and ...