Artificial intelligence (AI) is revolutionizing data engineering, reshaping how information is collected, transformed, ...

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 ...

KDNuggets, a community site for data professionals, ranked “We Don’t Need Data Scientists, We Need Data Engineers,” by Mihail Eric, a venture capitalist, researcher, and educator, as its top story of ...

Compare the best data engineering companies for industrial manufacturing in 2026, with verified use cases, stack coverage, ...

When most people hear “observability,” they think of on-call rotations, alerts and dashboards for SREs. That narrow view is ...

This means that definity now introduces a new operating model for enterprise data platforms: agentic data engineering. The ...

AI-driven transformation: Bapi Ipperla stresses that AI is now the foundation for scalable, resilient, real-time data engineering infrastructure. Beyond automation: AI pipelines can parse unstructured ...

In complex engineering environments, the real value proposition is human ingenuity together with machine precision.

DuckDB Labs recently released DuckLake 1.0, a data lake format that stores table metadata in a SQL database rather than ...