The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

In a diverse and dynamic technology landscape, how can companies create a more intelligent approach to data management? Composable data systems based on open standards may be the next big thing for ...

The frightful fall season of Halloween is upon us. This means spooky things are on the rise. It’s right to be wary of things that bump at night or in the day when looking at the tangle of legacy data ...

In a recent Views & Comments column published in Engineering, researchers Jinghai Li and Li Guo from the Chinese Academy of Sciences offer profound insights into the future development of data science ...

Part 2 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the database system space. Running The Bases By 2025 the total amount of digital data generated, gathered, ...

Dmytro Lazarchuk is a cofounder and CEO of Relokia with over eight years of experience in digital marketing and data migration services. Annually, businesses waste $85 billion fixing technical ...

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

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

“We’re loading our lives into these systems and feeling we have no control of how these systems work,” warns the political theorist Colin Koopman. By David Marchese It’s no secret — even if it hasn’t ...