Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling.

Logical and physical data modeling capabilities include Forward and Reverse Engineering, Visual Data Lineage, Database Model and Metadata Documentation, Advanced Compare and Merge, “Where Used” ...

Achieving predictive data science for physical systems requires a synergistic combination of data and physics-based models, as well as a critical need to quantify uncertainties.

The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical ...

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

Meteorologists use these equations to create what's known as numerical weather models to predict what's going to happen in the atmosphere.

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.

Identify which data modeling tools are right for your business. Discover the top data modeling tools of 2022 now.