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 ...

Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with, and act on. At scale, these systems often remain operational while ...

Enterprise companies have spent years modernizing their data stacks, but are they getting enough out of them? Over the last ...

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 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 ...

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 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 ...

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 ...

The Integrated Data Systems and Services (IDSS) program supports operations-level national-scale cyberinfrastructure systems and services that broadly advance and facilitate open, data-intensive and ...