Nitrogen, the leading developer of integrated risk tolerance, proposal generation, investment research, and planning software ...

Analyses of data from high-throughput genomic technologies are challenging given large data dimensionality. Here, Liu and colleagues describe a method called MANCIE (Matrix Analysis and ...

The ETL frameworks Kishore Ande implemented ensured not only operational efficiency but also data quality—a critical prerequisite for advanced analytics and, eventually, artificial intelligence ...

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

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

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

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 collaboration will enable the direct integration of card payment data from over 5,000 banks in more than 50 countries ...

Recently, the "Data Empowerment, Multiplying Growth - Automotive Data Innovation Application Competition Finals" successfully ...