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.

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.

Even as bioprocessors collect ever more data and analyze it with AI-based methods, the industry is challenged by data integration.

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

Jakarta Data simplifies data integration in Java apps, supports polyglot persistence, and unifies Jakarta EE technologies. Jakarta Data is open-source and versatile.

A Gartner Magic Quadrant Report looks at the top data integration tool vendors, including SAP and Informatica.

There are many similarities between data migration and data integration, but they also have some key differences. Learn what they are.

The proliferation of data sources, types, and stores is increasing the challenge of combining data into meaningful, valuable information. The need for faster and smarter data integration capabilities ...

Human Resources Data and Systems Integration with Sustainment in 2040 By LTC (Ret.) James J. Galluzzo III January 22, 2025 ...