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.

Lalit Ahuja is the Chief Technology Officer at GridGain Systems & a frequent speaker on AI-ready data and enterprise architecture patterns. Extracting intelligence requires both access to information ...

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 ...

The Automotive Edge Computing Consortium (AECC) today announced the release of its latest white paper, "Data-First Architecture for Data-Driven Automotive Service Development." Developed by the AECC ...

AI may be the visible goal, but data architecture is what determines whether that goal can actually be achieved.

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 ...

CTPrime Venture announced the introduction of a market intelligence service referred to as the Zero Delay Synchronization ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation across asset servicing. Through re-engineering — which usually involves ...

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 ...

Explores modern, modular data architectures for SecOps, moving beyond legacy SIEMs to reduce costs while improving visibility ...