View on Coursera Course Description The course is intended for individuals looking to understand the basics of software engineering as they relate to building large software systems that leverage big ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs.

Where will your convergence happen? On the horizon or in your big data applications? There is an alternative. A converged architecture changes basic assumptions about applications.

To meet the needs of the digital economy of the 2020s, data architecture has evolved into a dif­ferent animal than it was 10, or even 5, years ago. Most notably, there are three trends that 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.

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 ...

Data architecture, guidelines + industry standards: Health systems’ recipe for generating value from information assets Healthcare organizations are awash in data.

Edge databases can empower edge data to bring computing and data storage close to data sources, toward sustainability and reduced waste.

Data prefetching has emerged as a critical approach to mitigate the performance bottlenecks imposed by memory access latencies in modern computer architectures. By predicting the data likely to be ...

Codoflow, a centralized platform, is on a mission to change how businesses approach data architecture management. Committed to addressing the challenges of outdated documentation and fragmented ...