Data integration challenges are becoming more difficult as the volume of data available to large organizations continues to increase. Business leaders clearly understand that their data is of critical value but the volume, velocity, and variety of data available today is daunting. Faced with these challenges, companies are looking for solutions with a scalable, high-performing data integration approach to support a modern data architecture. The problem is that just as data integration is increasingly complex, the number of potential solutions is endless. From DIY products built by an army of developers to out-of-the-box solutions covering one or more use cases, it's difficult to navigate the myriad of choices and subsequent decision tree.

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REDWOOD CITY, Calif., May 22, 2018 (GLOBE NEWSWIRE) -- Talend (NASDAQ: TLND), a leader in cloud data integration solutions, has been named to the 2018 CRN Big Data 100 list, a brand of The Channel Company. This annual list recognizes vendors that have demonstrated an ability to innovate in bringing to market products and services that help businesses work with one of the most dynamic, fastest growing segments of the IT industry - Big Data. As a result of Talend's inclusion in the CRN Big Data 100, Solutions Review selected Talend Open Studio for Data Integration and Talend Cloud among its list of "7 Data Integration Tools We Recommend". The data explosion in recent years has fueled a vibrant big data technology industry. Businesses need innovative products and services to capture, integrate, manage and analyze the massive volumes of data they are grappling with every day.

I've been delivering data integration solutions for decades but I only recently started working with Hadoop. McKnight's and Dolezal's book is very helpful for people using any data integration technology. The language is for executives, directors, managers, and practitioners interested in learning (or learning more) about the oft-overlooked topic of data integration. As I often tell people, "You can't do Big Data without... data." The data required for modern analytics projects is rarely stored nearby.