IBM (NYSE:IBM) has unveiled a new dual-architecture mainframe processor designed to support both IBM and Arm computing ...

The proliferation of Internet of Things (IoT) devices has resulted in unprecedented volumes of real-time data generated at the network edge. Traditional centralized cloud computing models face ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. As AI commoditizes code output, system ...

AI applications rely heavily on storing vast quantities of data for training and inference purposes, which underscores the importance of storage networking for these applications. Storage networking ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...

The momentous transformation putting data managers and their systems at the helm of modern enterprises has only begun. Industry leaders and experts agree that it’s critical for data managers and team ...

Data center architectures are becoming increasingly customized and heterogeneous, shifting from processors made by a single vendor to a mix of processors and accelerators made by multiple vendors — ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Contrary to popular belief, the most meaningful developments in ...

Business leaders often frame the role of data architectures around competitiveness, scalability and efficiency. But those benefits no longer capture its most critical role: Risk management. Today, ...