Database systems are the backbone of contemporary data-driven applications, underpinning industries ranging from finance to scientific research. As data volumes surge and complexity increases, robust ...

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 ...

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 ...

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 ...

In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live substrate through which decisions are executed, policies are enforced, and ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...

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 ...

The value of data is undeniable when it comes to running a business. Specifically, you use it to inform the decisions you make, thanks to actionable insights that show you exactly how you’re ...