In this special guest feature, Moises Do Nascimento of Medidata discusses his 3-pronged approach to creating effective data architectures that have served him well, especially now that he deals with ...

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 ...

Over the past decade, the data boom has created exciting strategic opportunities for adaptive companies and enabled the development of entirely new enterprises. This wave was the result of the ...

Healthcare organizations are awash in data. But not every health system is able to utilize its data in ways that yield actionable insights or opportunities for performance improvement. Without a clear ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

When it comes to business information, chief information officers (CIOs) and chief data officers (CDOs) are tasked with bringing order to chaos. As firms gather ever more data, they face both ...

Similarly, database needs have changed; between demands for scalability and performance, microservice architectures, ACID transactions, and storage efficiency, it’s undoubted that modern needs for ...

While the emerging constellation of next-generation data architectures—fabric, mesh, and cloud—is extremely appealing, it’s still full of unknowns. These approaches present opportunities for greater ...

For decades, organizations have approached data architecture with a monolithic mindset—centralized platforms, complex codebases and rigid structures. While these systems were built with the noble goal ...

Embracing modern architecture is now a necessity for staying competitive and innovative. Automation of high-quality data is at the forefront of modern data architecture, with security and flexibility ...