Data modeling best practices give structure and direction to an organization's data. Read more about data modeling now.

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 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.

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 ...

Data models define the logical structure of data, how they are connected and how the data are processed and stored in information systems.

Data analysts can help build accessible data models by defining business needs, working with IT and data scientists, and testing results.

Data architecture describes the structure of an organization’s logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF).

MISMO, the standards development body for the mortgage industry released its logical data model as the next generation of the MISMO data exchange, according to a press release.

Learn the 4 types of data analytics, the 7 key models, the top 10 best practices for data analytics in 2023 and more.