The next step is to choose the right format to share your data architecture designs. Depending on your audience and purpose, you may use different formats, such as diagrams, documents, ...

The technology, which enables rapid business transformation, requires a new data layer—one built for speed, scale, and ...

Some examples of data architecture standards are data naming standards, data format standards, data dictionary standards, and data governance standards. Add your perspective Help others by sharing ...

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 easiest way to think about an open data architecture is that it’s the opposite of a vendor-locked-in, closed-system environment. A system designed with open data architectural principles supports ...

The data architect is responsible for visualizing and designing an organization’s enterprise data management framework, which describes the processes used to plan, specify, ...

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 ...

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 architecture, however, spans the organization and takes a high-level, holistic view, whereas data modeling focuses on specific systems or business cases.