Data architecture describes the structure of an organization’s logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF).

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 ...

Sandhill Consultants and erwin, Inc. believe that your data is key in taking a measured approach to change, rather than a simple, imprudent reaction to an internal or external stimulus. But you have ...

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.

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

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 also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with ...

Data integration is a leading priority for enterprise executives, with 82% of senior executives considering scaling AI a top priority. However, this ambition is frustrated by the longstanding ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans.With this in mind, technical professionals must strive to enhance and modernize ...

According to Deputy Secretary of the Army for Data, Engineering and Software Jennifer Swanson, who spoke at the AFCEA Army IT Day in January, the UDRA will enable the service branch “to view and ...