The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

The announcement will be formally presented at the International Conference on Massive Storage Systems and Technology – MSST 2026 in Santa Clara, California. Lattice is being launched in collaboration ...

The sheer volume of ‘Big Data’ produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a ...

Hadoop, an open source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over.

AI is inspiring organizations to rethink a fundamental IT concept: the data center. For decades, the data center was a centralized place. It was a handful of large, secure facilities where ...

In a recent article, “The Rise Of Distributed Data Centers In The AI Era,” I explored why enterprises are moving beyond a single, centralized data center to a fabric of compact, powerful data centers ...

Concurrent and parallel systems span from tightly integrated multicore and many-core processors to distributed clusters and cloud infrastructures. At the hardware level, advances in pipelining, ...

Huge volumes of data need near-supercomputer power to process and analyze it all. You can get there with the .NET Task Parallel Library. As Web and mobile applications face the challenge of quickly ...

It's rare to see an enterprise that relies solely on centralized computing. But there are nevertheless still many organizations that do keep a tight grip on their internal data center and eschew any ...