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 data consumers can rely on a single standardized set of data, provided through both streams and tables, to power their operations, analytics, and everything in between. We create the headless ...

But six years on, just as the merger between Databricks and Tabular prompted signs of a confluence between the two formats, fledgling database DuckDB proposed an alternative architecture, prompting ...

In today’s data landscape, a distributed architecture is driven by the need for real-time insights, compliance, and the scalability provided by cloud computing, with organizations increasingly ...

AI fabric architecture is modular, scalable, and future-proof and the key to organizational excellence in the modern business landscape Time flies in the world of data analytics and artificial ...

Building A Stronger Data Architecture System. Raghvendra Tripathi’s work with initiatives like MetaGenAI has shown how essential strong data architecture is to the future of healthcare.. He’s ...

Over the past decade, architect and building scientist Mohamed Aly Etman has informed global climate action with a superpowered computational tool that combines design and big data to visualize ...