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, ...

Modern enterprises rely on enterprise data integration to operate. Within telecom and financial sectors, a huge amount of ...

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 ...

Transform’s Will Lowe explores the overlooked infrastructure crisis beneath the public sector’s A.I. ambitions. Lowe argues that the greatest risk of government A.I. adoption lies in decades of ...

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 ...

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.

Data science has become an important catalyst for innovation. With this, businesses can analyze massive amounts of data to derive insights, anticipate trends and make informed choices. But data ...

A retailer can spend millions installing the latest inventory management systems, omnichannel fulfillment platforms, and ...

These 20 developers of data integration tools include industry giants IBM and SAP, established data integration companies like Informatica and Talend, and more recent entrants such as Matillion and ...