The logical data model (LDM) takes the conceptual data model further, defining the structure and details of the data entities, including their attributes, relationships, and constraints.

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.

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 ...

Business information models are well-defined in terms of what is included and excluded, by contrast with conceptual data models. The representation of a business information model in a logical data ...

Data modeling advantage: The vendor offers a robust modeling tool that delivers visualizations of physical, conceptual and logical data structures. The platform can generate SQL scripts, thus ...

The logical data model contains more detail than the conceptual data model and includes all the entities, relationships, attributes and rules that apply to the data. This type of model is used to ...

Data Modeling: An Integrated View. Data modeling is an essential technology for understanding relationships between data sets. The integrated view of conceptual, logical, and physical data models ...

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.

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 ...

A logical data model captures how a company conducts its business and how the data are organized for decision-making and analysis. The Utilities LDM also highlights data integrity problems, provides ...