Learn the key differences between data integration and ETL in this guide, which provides their side-by-side comparison.

AI can improve data integration by automating and quickly accomplishing what used to be manual or time-consuming tasks.

In data-level integration, changes propagated from dependent systems bypass the integrated application, so all inserts, updates, and deletes are done to data that the integrated application accesses.

Three principles for secure data integration How to prevent the unnecessary flow of sensitive data to downstream systems? How to keep it secure in case it does need to be shared?

This is the first installment of a two-part series expert-advice on data integration solution deployment.

Using the hub-and-spoke model of a centralized data hub, businesses can easily achieve their real-time data goals, says Hanadi Salameh, an Enterprise Digital Architect at Cognizant.

The research addresses a fundamental challenge in modern education: the lack of cohesive insights from disparate student data ...

Integrating data is one of the thorniest challenges in business intelligence and analytics – achieving it is technically and organisationally complex, while it is gaining in importance all the time.