Radiant Advisors' John O'Brien explained modern data architecture at Data Summit Connect Fall 2020, presented by DBTA and Big Data Quarterly. There are a lot of components to a modern data ...

Modern data architecture, therefore, comprises new concepts and components to make the architecture more adaptable and future-focused for data-centric enterprises. McKinsey highlighted six major ...

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 goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Many organizations today are looking to ...

However, looking across a variety of industries and company sizes, there are a few key components that should be at the core of every modern data architecture: • Shared data: A modern data ...

These diagrams serve as a roadmap for development teams so that they know how best to align their implementations to architecture and data standards ... define a scope of components that are ...

Machine intelligence relies on computing platforms that execute code, decipher data, and learn from trillions of data ... Enterprise computing relies upon a complex power architecture that delivers ...

Reserve your seat today! Register Now to attend the webinar Modern Data Architecture Trends in the Era of AI: The 2025 Q1 Survey Results. Don't miss this live event on Thursday, May 22nd, 11 AM PT / 2 ...

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 ...

The U.S. Army is currently working to implement its Unified Data Reference Architecture, which is designed to join a data mesh and data fabric in a way that would allow users to easily access ...