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 often ...

Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.

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, ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

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

With the growing interest in adopting best practices across IT departments, particularly according to standards such as the Information Technology Infrastructure Library (ITIL), many organizations are ...

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 ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Picture this: The year is 2030, and you’re living in a world where retailers can predict ...

Oracle’s change in strategy to release a developer-first version of its new database is linked to the company’s plans to defend its market dominance and look at innovative ways to acquire new ...