Data engineering is the process that makes it usable. It involves moving, cleaning, and organizing. This creates the foundation for BI and analytics. The goal is to replace guesswork with facts. That ...

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 ...

AIM Media House brings the Data Engineering Summit 2026 to Bengaluru, uniting engineers and leaders to explore the frameworks ...

Explore the evolution of data engineering, focusing on agentic systems and AI pipelines for enhanced analytics and enterprise ...

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 ...

The role of data engineering has evolved dramatically. In the past, it was primarily operational, focused on ensuring the smooth functioning of data pipelines, accurate dashboards, and timely delivery ...

At NBCUniversal, Yerrasani led a major platform unification effort that extended Peacock’s Streaming Data Platform and ...

OpenSecrets is a nonpartisan, nonprofit organization dedicated to tracking money in U.S. politics and its influence on elections and public policy. As the nation’s most comprehensive resource for ...

One of the biggest highlights this year is Artificial Intelligence and Data Engineering, which has emerged as one of IIT ...