The cloud holds a large – and growing – percentage of enterprise data. While much of this growth comes from unstructured information, such as documents and media files, enterprises also still depend ...

For most enterprise applications, vector support is a feature that should be woven into the existing data estate, not a ...

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 ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...

Database administration remains an important skill as organizations continue to store and access much of their data using a database management system. But what it means to be a DBA has changed over ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...

Data is one of the most valuable assets for any organization, and the risk of that data being tampered with, stolen or deleted is a fundamental fear. Over the past decade, we've seen an increase in ...

When you eliminate the dependency on local storage, the database becomes an active, real-time engine, not just a place to ...