There are many ways to describe a database: the role it plays in a distributed architecture, the various internal components that make it work, and the various levels that define specific roles and ...

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...

AI is changing the way we think about databases. You can’t have reliable AI agents without reliable data infrastructure.

Right now, AI technologies are not just enhancing existing technology portfolios—they are reshaping how organizations think about modern data architecture, elevating modernization from a competitive ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is the fix. Let’s be honest: our data systems are struggling to keep up with AI ...