In the evolving world of data architecture and analytics, Gopala Krishna Subraya Pai stands out as a thought leader whose ...

In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live substrate through which decisions are executed, policies are enforced, and ...

Architecting modern applications is a tough job, and architecting a solid data model for modern applications is one of the toughest, yet most important, parts of a modern application architecture.

Time flies in the world of data analytics and artificial intelligence (AI). Seemingly every day, new technologies rise, new use cases emerge, and new frontiers unfurl themselves before a world that ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Change is driven by the huge amount of data growth, with organizations now running workflows typically seen in High Performance Computing (HPC). Compute Systems, whether at the core, the cloud, or the ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation across asset servicing. Through re-engineering — which usually involves ...

The Department for Work and Pensions (DWP) has published a “data strategy” document that sets out what it believes it will ...

Data Architects design systems for enterprise database systems and set standards for operations, programming, and security. They integrate new systems with existing warehouse structure and refine ...