Learn the differences and uses of conceptual, logical, and physical data models for database development, and the benefits and tools of data modeling.

Towards a logical model for BPMN diagrams Modeling Business Processes has become a challenging issue of todays' Knowledge Management. As such it is a core activity of Knowledge Engineering. There are ...

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

The purpose of this article is to define the process for converting a logical data model to a physical data model, especially in a warehouse environment. Before discussing the specific methods for ...

An example of a logical model would be an Entity-Relationship Diagram (ERD), which would contain only generalized data types, and attributes such as NULL/NOT NULL and check constraints.

Most projects benefit from having a data model. Read this article for an overview of the most common types.

These top data modeling tools and applications enable users to build conceptual and logical data models that deliver significant competitive advantage.

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 ...

This involves understanding what information the database should store, how the data will be used, and what operations should be supported. Conceptual Model: the conceptual model was created that ...