From its humble beginnings in the AMPLab at U.C. Berkeley in 2009, Apache Spark has become one of the key big data distributed processing frameworks in the world.

Data today is too distributed and too large to move it to where the processing is performed. Now, businesses must find ways to move the processing close to the data—and the closer, the better.

"The addition of SophiaVerse LLM AI data processing and distributed Web3 digital infrastructure services extends the possible monetisation options through our cloud," concludes Martin Speight, ...

Distributed computing also allows for better cryptographic systems. An encrypted key may be more secure when generated by a network of computers where no single device knows the entire secret code.

Edge computing is a distributed network architecture that processes data as close to the originating source as possible. Edge computing reduces latency by processing data as close to the source as ...

Abstract: Data creation in the network's periphery has increased exponentially as IoT devices have become more commonplace. To address the challenges this large data deluge poses, sustainable and ...

What Is a DPU, or Data Processing Unit, and How Does It Work? The best way to think about a DPU, says Jim McGregor, principal analyst at TIRIAS Research, is as “an internal or overhead workload ...

Today, Samsung Next, the venture capital arm of Samsung Electronics, announced it is making a strategic investment in Seattle-based Expanso, a startup looking to power distributed data processing.