A good data architect is a gift to their organization because they achieve results that advance an organization's data maturity. What kinds of characteristics lead to a data architect being considered ...

A data architect should be involved in data governance practices, in data administration, in data integration, and in data modeling. Each organization must establish for themselves where to draw the ...

Data marts: Organizations might also add data marts to their warehouse architecture — between the central database and end-users — to serve specific business lines.

As architect and founder of Finch 3D Jesper Wallgren states, “AI presents many new opportunities for our profession, and I believe that the architect is harder to replace with AI than many other ...

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the ...

Georgi Gospodinov, one of Walmart's lead data scientists, explains why you can’t have complete data fusion without the right data architecture, and why building in privacy is key to success.

This online data science specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. The first course introduces you to ...

Facing an existential crisis, enterprise architecture must abandon outdated dogma for AI-driven adaptive governance to ensure survival and deliver value. In “Data trust and the evolution of ...

To disambiguate three-tier deployments with three-level DBMS architectures, remember this: The three-level architecture deals exclusively with databases. A three-tier deployment architecture a ...