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).

To level up as a data architect, you need to understand the business context, objectives, and requirements of your data solutions, and how they fit into the broader data ecosystem and strategy.

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 ...

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.

To address this complexity and make data “work” for the business, companies need to look at their data architecture. At the simplest level, a data architecture is about knowing where the ...

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 ...

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 ...

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 ...

Does your company need a data architect? Your email has been sent Why the Database Market Keeps Growing Bigger and Stronger Top 7 Power BI Alternatives and Competitors What Is Data Literacy, and ...

Sarvesh Kumar Gupta's has been marked by significant contributions to major data architecture projects, where he has honed his skills in designing globally distributed databases, blockchain ...