Software is called "multi-tenanted" if a single instance can serve multiple tenants, and multi-tenancy is often referred to as an application "architecture." Cloud-native technology is challenging ...

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 ...

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 ...

The job of application architects is getting harder as the integration of generative artificial intelligence, adoption of platform engineering, and heightened security demands are providing change at ...

The evolving landscape of data architecture has shifted in the past two years with the arrival of AI capabilities -- fundamentally changing how organizations evaluate, justify, and implement their ...

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 ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

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.

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 ...

Moving to a unified data architecture reduces complexity, improves efficiency and enables faster iteration—all critical benefits in the AI era ...