Silent schema drift is a common source of failure. When fields change meaning without traceability, explanations become ...

Find out why the most important career in the 2026 AI revolution is data engineering. Discover the technologies that drive ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

A new textbook from three Northwestern Engineering faculty members highlights an exciting new way to solve problems using the growing discipline of data science. Traditional data science methodologies ...

In today’s AI gold rush, the startups that win aren’t just the ones with the best models—they’re the ones with the strongest data foundations. As AI-native companies race to productize intelligence, ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Justin Pront, senior ...

Northwestern Engineering’s Department of Computer Science and Department of Industrial Engineering and Management Sciences have launched a data science and engineering minor to provide McCormick ...