Here we are, a decade later—swamped in countless technologies, methodologies, applications, visualization techniques and data-aggregation capabilities—and many companies are still failing to ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

AI’s capabilities for automating the necessary data integration implicit to the data fabric architecture — and its unification with the data mesh one — have been highly exaggerated.

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 ...

Today's data-driven organizations demand capabilities that adapt to the enterprise and open new paths of innovation to business users. Achieving leadership in today's economy requires identifying and ...

The future of digital architecture lies in maintaining traditional DiD methodologies, while developing ZT-based models, especially to protect cloud investments. Infrastructure As A Service ...

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

Facing an existential crisis, enterprise architecture must abandon outdated dogma for AI-driven adaptive governance to ensure survival and deliver value.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 ...

On the other hand, when standards provide data and architecture guidance to development teams, then these standards should form a basis of how developers implement user stories.