The relational data modeling technique is used to describe different relationships between entities, which reduces the complexity and provides a clear overview.

Object databases are also suited for applications that are not necessarily based on an object model, but use a large number of in-memory indexes that are difficult to store in a relational database.

Data modeling does not excite passion within programmers. Your average Java or Python developer probably doesn’t even realize that they are doing it when they write programs, in great part ...

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

The minor is a cohesive set of courses that elevates students from a foundational level to advanced knowledge of database systems and the database development process. Students learn the basics of ...

Most projects benefit from having a data model. Read this article for an overview of the most common types.

Microsoft Research has had 7,000 downloads of its Comega programming technology, which is intended to bridge the gap between relational, object, and XML data models. Comega, or Cω, is described ...

You would think that with the towering importance of data in today's modern organization that data modeling would be viewed as extremely important by management and IT professionals, so it is somewhat ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

When it comes to inheritance, relational database theory and object-oriented programming have more in common than you might think. Understanding that overlap is critical in designing the object model ...