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 ...

Washington, D.C., is breaking down data silos with the development of its Education Through Employment Data System, designed to unify data across the workforce-to-education continuum. The initiative ...

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 ...

Migrating or rebuilding an analytic platform is among the most complex technology initiatives an enterprise can undertake. The most commonly cited study concludes that 83% of such migrations fail or ...

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 ...

Imagine trying to navigate an unfamiliar city with a broken compass. The needle appears steady and reliable, instilling confidence in each turn you take. But unbeknownst to you, every step leads you ...

What you need to know: The system aims to improve the country's ability to detect, monitor, and respond to disease outbreaks in the country The Ministry of Health has launched the National Laboratory ...

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 ...