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 ...

Data architects work to visualize, design, and prepare data in a framework that can be utilized by teams of data analysts, ... Develop data models for applications, metadata tables, views or related ...

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 ...

Data architects are senior visionaries who translate business requirements into technology requirements, and define data standards and principles, often in support of data or digital ...

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 ...

Kris Lahiri is Co-founder and Chief Security Officer at Egnyte, responsible for the company's security, compliance and core infrastructure. In the rapidly evolving landscape of cybersecurity, zero ...