Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models.

Oracle's growth signals the end of experimental AI and urgent need for enterprises to secure production infrastructure now.

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Enterprises are creating huge amounts of data and it is being generated, stored, accessed, and analyzed everywhere – in core datacenters, in the cloud distributed among various providers, at the edge, ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

The process of de-identifying test databases can be approached in a variety of ways, and we’re often asked how our approach differs as compared to others. In this article, we’ll explore how our ...

This approach features a centralized database linked to other data stores with a common data model that carries information from one point to another, without the need to rewrite code.