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, ...

Some functions related to data have advanced with astonishing speed: generation, dissemination, storage, even security (and yes, that one still has many challenges). But there are others still mired ...

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 ...

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

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 ...

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 ...

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 ...

IPXO and EasyDCIM have partnered to connect infrastructure management with IP address leasing and monetization in a single ...

Good decisions require good data, but pulling it all together and getting it into a format you can analyze isn't easy. One of the biggest factors isn't technology, it's people. Here are three steps ...

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 ...