An integration platform as a service (iPaaS) is a cloud-based tool for linking existing applications and data flows into new services. Here are the key use cases, examples, and vendors. Organizations ...

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 ...

Vast's Jeff Denworth and Alon Horev give insight into the company's role in cloud-native infrastructure, Kubernetes and ...

Today, HawkSoft and SALT are announcing a new integration that helps independent insurance agencies improve the accuracy and efficiency of their data intake. SALT's intelligent intake platform is now ...

Additionally, the firm wrote in its research report, poor data quality and misaligned tools limit agility. And, while nearly half of middle-market companies (defined as those valued between $5 million ...

In its 2026 trucking trend predictions, Geotab outlined where AI and data may matter most as fleets plan maintenance, safety, ...

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. When I speak with ...

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 ...

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, ...

Microsoft Excel for analysts skills include Power Query to trim spaces and merge columns, so you automate cleaning steps and ...

Even as bioprocessors collect ever more data and analyze it with AI-based methods, the industry continues to face a crucial hurdle—data integration. “In most industrial biotech companies or CDMOs with ...