Abstract Entity relationship diagram (ERD) is one of the most widely used technique for data modeling. An ERD developed during the conceptual data modeling phase of the database development process is ...

A logical model should be normalized (to at least third normal form). This runs contrary to what lots of people say, but remember, normalization does not presuppose the granularity of the data.

A logical data model is a more abstract and conceptual view of the data, focusing on the entities, attributes, and relationships without considering the technical aspects of the database system.

Data professional should focus on strong understanding of data modeling fundamentals, including different types of models (relational or dimensional), normalization, denormalization, entity ...

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.

Over-normalization can result in a loss of semantic details and integrity. Data modeling is a semantic process and as such, it will always remain more art than science. Consider your logical data ...

The data modeling course entails all the important points related to conceptual, logical, and physical approaches. You will learn to draw Entity-Relationship Diagrams (ERDs) and the normalization ...