Learn what logical data models are, how they differ from physical data models, how to create them, how to use them, and what are some best practices for logical data modeling.

Learn how to map your logical data model to your physical data model in data modeling. Discover the difference, benefits, and steps of this process.

Success in implementing a court automation system depends on developing a high-quality logical data model. Certain patterns regarding representation of data on actors in the judicial process, cases, ...

Three different types of data models exist, each of which plays a distinct role in data modeling. They help an organization’s efforts in organizing, understanding, and making productive use of ...

Logic models are a well-defined means to help people plan impactful projects and can help in the design of data access initiatives.

Logical data model 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.

Our approach aims to combine the mechanistic insights of logical modeling with multi-omics data integration to provide patient-relevant models. This work leads to the use of logical modeling for ...

In order to represent data fusion process in more systematic way, a logical model of the process is suggested. The logical model being insufficiently general to represent different data fusion ...

The artistry in logical data models is to understand the business deeply enough to know when and where to apply abstraction, keeping objects within the used language and meanings of the organization.

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