Data scientists and data engineers are both critical roles for data-driven organizations. When they work well together, it can be magical. But too often, their relationships are fraught with tension ...

The rise of artificial intelligence(AI) is fundamentally changing the world of data analytics and data engineering. Advanced AI systems—AI agents that autonomously act, starting to change how ...

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 ...

Today, Tray.ai, the leader in enterprise orchestration for data and AI, announced it has been named a Visionary in the 2026 Gartner Magic Quadrant for Integration Platform as a Service (iPaaS). This ...

As the grid evolves with electrification, distributed energy resources, and telecommunications, utilities face increasing demands for rapid, accurate structural assessments.

Bloomberg’s Data Technologies Engineering team is responsible for the data collection systems that onboard all of the referential data that drive the company’s applications and enterprise solutions.