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 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.

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 ...

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 ...

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 ...

Integrating distributed, in-memory computing with distributed caching can easily extend LINQ semantics to create important new capabilities for real-time analytics on fast-changing data. In the age of ...