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. Working with big data can be ...

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...

I feel that edge computing stocks should be on investors’ radar. We’re seeing rapid changes in how data is being transformed and processed, with edge computing stocks being vital players. Edge ...

In a previous article, I discussed redefining the challenge facing companies that want to become data-driven. The way most people think about this problem—and the most commonly proposed solution—is ...

Did you know that 90% of the world’s data has been created in the last two years alone? With such an overwhelming influx of information, businesses are constantly seeking efficient ways to manage and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Data storage and data processing have always been separate functions, but what if they could be unified and achieve much better performance? That’s the promise of computational storage. Although media ...

Space missions generate vast amounts of data, and the ability to process this data swiftly and efficiently is paramount to the success of space-based applications. Satellite systems equipped with ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

In the evolving landscape of data storage, computational storage devices (CSDs) are revolutionizing how we process and store data. By embedding processing capabilities within storage units, these ...

Data processing units (DPUs) have emerged as an important deployment option for datacentres that run heavy data-centric workloads such as artificial intelligence (AI) and analytics processing, and to ...