As part of CRN ’s Stellar Startups for 2025, here are five big data technology startups, founded in 2019 or later, that ...

Whether your business provides big data and analytics to others, or you use big data and analytics to enhance your own products, research and marketing, it is necessary to have a fast, efficient and ...

The data mesh architecture promised to eliminate the inefficiencies and errors of the data lake. What went wrong?

Opportunities for the Data Center Chips market include increasing demand for cloud computing, AI, and big data analytics, ...

7 big data goals for 2021: AI, DevOps, hybrid cloud, and more Your email has been sent Image: iStockphoto/metamorworks Must-read big data coverage What Powers Your ...

Data integration is a leading priority for enterprise executives, with 82% of senior executives considering scaling AI a top priority. However, this ambition is frustrated by the longstanding practice ...

Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business intelligence space. It’s no surprise that in diagrams and visual ...

It's been amusing to watch the NoSQL movement transition from a "We don't need no stinking SQL" attitude to a "Can I please have some SQL with that?" philosophy. The nonrelational databases that ...

Big Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS ...

In the face of an impending economic slowdown, making the right business decisions is more critical than ever. This article will explore how decision making using Big Data and data analytics can help ...