To centralize or distribute data management? That question has been on the front burner ever since departmental minicomputers invaded the enterprise, followed even more subversively by PCs and LANs ...

When tech giants like Netflix and Intuit adopted the data mesh architecture, it looked like the next big thing. A few short years later, disillusionment has set in, with companies turning their backs ...

Decision-makers try to capture, filter and sort business data rapidly, without compromising the quality of the data to get useable results. To put data into the hands of those who need it most, ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

In today's data-driven world, organizations grapple with managing vast amounts of data effectively. The centralized data architectures in place for decades no longer suffice. Without a well-defined ...

In your quest to build the best data architecture for your organization’s current and future needs, you have many options. Thanks to the mailability of software, those options are nearly infinite. But ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Contrary to popular belief, the most meaningful developments in ...

If you work for a large financial firm, it’s safe to assume that your data architecture is probably what UBS Group CTO Rick Carey calls a “big red blob.” Like many technologists whose job it is to ...

A new era of data is upon us. The technology industry generally and the data business specifically are in a state of transition. Even our language reflects that. For example, we rarely use the phrase ...