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.

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 ...

In the first quarter of 2025, nearly 60% of DBTA subscribers told us they were actively researching GenAI with LLMs, including RAG and knowledge graphs. On top of this, when asked which technologies ...

The artificial intelligence moment has a new focal point, and it isn’t a model — it’s the mess of files, logs and transactions where work actually happens. The winners may very well be those who ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

As AI adoption continues to accelerate, many organizations now face the challenge of extending their existing data infrastructure to support the unique demands of AI applications. This means ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Our world is inherently decentralized. Over the last two decades, the ...

When it comes to running a successful business, gaining competitive advantage is everything. That said, pinpointing exactly what might give firms that ‘edge’ isn’t an exact science. It might be a new ...

VAST Data introduced a new AI cloud architecture based on Nvidia's BlueField-3 DPU technology. The architecture is designed to improve performance, security, and efficiency for AI data services. The ...

A global certification pathway validates NoSQL expertise through secure testing and digital credentials aligned with ...