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 ...

By creating and maintaining a unified metadata repository, the data foundation provides centralized governance and control ...

Real-world healthcare data architecture lessons from a data engineer who built large-scale Medicaid and insurance ...

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 ...

As AI adoption accelerates, enterprises are rethinking fragmented data architectures in favor of unified intelligence operating models.

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 ...

Public health departments depend on accurate and timely data to guide their efforts to control the spread of disease. Full integration of information technology is the norm for other essential 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 ...

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 ...