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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 ...

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 ...

Right now, AI technologies are not just enhancing existing technology portfolios-they are reshaping how organizations think ...

Architecting modern applications is a tough job, and architecting a solid data model for modern applications is one of the toughest, yet most important, parts of a modern application architecture.

The ongoing dive into modernity—and all the new technologies and hype trains that come along with it—requires a modern data architecture to support it. With this architecture comes a variety of other ...

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 ...

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.

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation ...