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

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

Get started modeling entities and relationships for Java data persistence, using an example application based on Java 21 with Hibernate 6.3.

It’s hard to model how your app and your data work together. Another approach is to use a library called an ORM, or object-relational mapping tool.

The cloud has been a boon for enterprises trying to manage the massive amounts of data they collect every year. Cloud providers don’t have the same scaling issues that dog on-premises environments.

Spread the loveAs the name suggests, a relational data model is a data model that describes data in terms of its relations. This model was developed by Edgar F. Codd, an IBM researcher, in the 1970s.

Cost reduction: Data modeling may seem like an extra step in the process, but it is a cost-effective one. The process can prevent potential oversights and glitches that often cost companies dearly.

Why Is The Relational Model Important? By joining the tables of a relational database, meaningless data can be made meaningful. Counting, adding, grouping, and combining queries are some of the ways ...