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 ...
GA release accelerates production streaming pipelines with real-time CRUD synchronization, reusable data flows, ...
Retail Banker International on MSN
Backbase and Plaid partner to streamline bank data integration
The collaboration will see Plaid’s real-time data connectivity incorporated into Backbase’s platform.
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 ...
Artificial intelligence (AI) is now woven into nearly every enterprise technology stack. Salesforce, SAP, Microsoft and others position AI as central to their platforms, while boards press executives ...
Instinctools adds Palantir Foundry and AIP to their tech stack to help enterprises operationalize data and deploy ...
Data migration vs data integration: What’s the difference? Your email has been sent As much as data migration and data integration are understood as interchangeable, the two data strategies play very ...
eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. IBM and Microsoft Corp. are aggressively pushing their ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results