Designing for Data Flow Processing more data in more places while minimizing its movement becomes a requirement and a challenge.

A look at the shareholders of Automatic Data Processing, Inc. (NASDAQ:ADP) can tell us which group is most powerful. And the group that holds the biggest piece of the pie are institutions with 83% ...

Conclusion Preventing downtime in real-time data processing ensures that businesses can leverage timely insights, fostering agility and informed decision-making.

The Data Processing Unit (DPU) is a relatively new component to the AI server offloads processing-intensive network, storage, and management tasks from the CPU.

The amount of data coming from numerous radar sources, such as autonomous vehicles and drones, can be overwhelming, but pushing the processing to the front where the raw data pours in allows the rapid ...

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

In this article, we’ll explore how Apache Hadoop transforms data processing, offering a scalable, fault-tolerant, and cost-effective solution for modern data challenges. What is Apache Hadoop?

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems.

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 ...