Data integration aims to provide a unified and consistent view of all enterprise wide data. The data itself may be heterogeneous and reside in difference resources (XML files, legacy systems, ...

Redis Inc. today updated its namesake database with a set of new features designed to ease software development for customers. Some of the enhancements are rolling out for the core open-source version ...

The data management discipline known as data integration (DI) has undergone an impressive expansion over the last decade. Today it has reached a critical mass of multiple techniques used in diverse ...

Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...

Data integration can seem like a never-ending quest as organizations try to combine and access data from disparate applications and sources. But as we move beyond relational as the only DBMS type that ...

In the digital world, companies often have data stored across multiple platforms and systems. They must then be able to successfully integrate and analyze this data if they want to make informed ...

While data integration is seemingly a natural fit for cloud giants' computing platforms, the cloud lags in the data integration market, which is being hugely transformed by artificial intelligence.

Enterprises that wish to remain relevant in their respective markets are embracing big data, including its benefits and challenges. Data integration plays a key role in big data as it allows ...

The integration of data from many sources, especially new 'omic' platforms, is increasingly challenging not just because of increasing volume of data but because these data are highly diverse, ...

Your advisor customers expect access to their financial data in the reporting and technology platforms they use daily. It takes significant time and resources to establish direct integrations across ...