“Emerging applications such as deep neural network demand high off-chip memory bandwidth. However, under stringent physical constraints of chip packages and system boards, it becomes very expensive to ...

An increasingly loud transformation has been reshaping how operations-heavy companies think about data infrastructure. In 2026, I believe it could fundamentally reshape three vendor categories. For ...

Becoming truly data-driven requires more than adopting new tools—it demands clear alignment between business goals and data architecture. The annual Data Summit conference returned to Boston, May 6-7, ...

The Graphcore disaggregated accelerator could be a game changer. I have recently finished a research paper looking into the data center architecture for deploying the Graphcore IPU-Machine, which is a ...

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.

Most martech stacks aren’t the real problem. The architecture underneath them is. CMOs and CIOs have spent the last decade building increasingly sophisticated martech ecosystems, answering every new ...

The Software Architecture for Big Data specialization includes a three-course pathway to earn admission to the Online MS in Computer Science (MS-CS). You may complete the three courses below as a ...

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 ...

This online data science specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. The first course introduces you to ...