As AI technologies continue to advance, the demand for relevant and accurate data has intensified, pushing organizations to capture, integrate, and harness data from many different sources. However, ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...

Conventional data management systems are fundamentally ill-suited for the world of data as it exists today. These systems, based with few exceptions on the relational data model, are broken because ...

If you’re considering using a data integration platform to build your ETL process, you may be confused by the terms data integration and ETL. Here’s what you need to know about these two processes.

New procurement documents show how ICE integrates enforcement data from multiple operational systems into a centralized ...

In seeking the opinions of more than 500,000 clinicians on electronic health record interoperability, KLAS Arch Collaborative researchers learned that external integration was reported to be the worst ...

In a previous article, I discussed redefining the challenge facing companies that want to become data-driven. The way most people think about this problem—and the most commonly proposed solution—is ...

In recent years, businesses of all sizes have increasingly relied on digital tools and technologies. There has been a rapid increase in adopting the newest trends to enhance productivity and ...

Customer data integration (CDI) unifies data from multiple sources, creating a complete and accurate view of customers. It’s how your favorite online store knows exactly what you’re looking for—even ...

Legacy core banking systems were built to run forever — and they do. The problem isn't reliability. It's that a system ...

Data integration and data ingestion are two IT disciplines that are often confused with one another. Here’s how they differ and the challenges you may encounter. With the increasing amount of data ...