To make productive use of the ever-growing volumes of data, businesses and organizations need the right database systems to manage all that data and make it available for transactional and analytical ...

Relational calculus. Query processing and optimization. Transaction processing: failure, recovery, and concurrency. Database security. Logic-based systems. Parallel ...

From AWS, Google and Oracle to Databricks, IBM and Snowflake, here are the top 16 vendors leading the cloud database management systems market, according to Gartner’s new Magic Quadrant. Gartner’s Top ...

The fundamental principle of cloud systems is a focus on multiple, disposable, and replaceable machines. This has direct consequences for the implementation techniques, and therefore the capabilities ...

As proposed by business consultant and author Geoffrey Moore, "Without big data, you are blind and deaf in the middle of a freeway." Data is not only an asset these days in high-stakes business. It is ...

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 ...

Databases are the backbone of countless applications and systems, yet managing them can often feel like navigating a maze of complexity. If you’ve ever found yourself wrestling with SQL queries, ...

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 ...

Data isn't just oil anymore; it’s the oxygen your enterprise breathes. In 2026, the volume of data flowing through the average mid-to-large enterprise isn't just massive—it’s complex, messy, and ...