Big data engineers develop, maintain, test, and evaluate big data solutions within organizations. Duties include resolving ambiguities in data, performance optimization, and data extraction. Big data ...

As a data engineering leader with over 15 years of experience designing and deploying large-scale data architectures across industries, I’ve seen countless AI projects stumble, not because of flawed ...

The big data market is in a state of upheaval as companies begin shifting their data strategies from “nothing” or “everything” in the cloud to a strategic mix, squeezing out middle-market players and ...

Name the hot buttons about generative artificial intelligence, and they often center around data. Concern over understanding the context of data stems from the need to ensure that AI models are ...

In five years, there will be more than 30 billion smart devices in the world, all producing data to be analyzed, collected, and shared, according to internet and cable service provider Spectrum. A new ...

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 modernization of data platforms is a vital undertaking for organizations aiming to survive in the digital age. With the sheer speed at which technology develops, businesses must continuously ...

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 ...

The semiconductor industry’s labor crunch finally has convinced chip designers to bet big money on big data. As recently as 2016, executives weren’t sure there was a market for big data approaches to ...