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, ...

“Over the past decade, the number of Bloomberg employees has doubled,” wrote Michael Bloomberg in a recent Business Post op-ed. “Our Dublin office is now nearly our largest in the EU.” The Bloomberg ...

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 ...

Mukul Garg is the Head of Support Engineering at PubNub, which powers apps for virtual work, play, learning and health. In my journey through data engineering, one of the most remarkable shifts I’ve ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weeklyu Developer Network written by Jesse Anderson in his role ...

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 ...

Data engineering is the gritty, often unglamorous work that underpins every AI model, every dashboard, and every strategic data driven decision. For years, we treated our data lakes like giant, messy ...

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 ...