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Creating Big Data applications is a relatively new art and developing a comprehensive solution can be challenging. Some of the key challenges arise from bringing together complex domains such as stream analysis, batch workflow orchestration and data import and export. Furthermore, building such applications normally requires stitching together disparate products. Spring XD is a new project that aims to tackle big data complexity.
It builds upon proven Spring technologies to tie together these domains and provide a scalable, distributed, and fault-tolerant runtime environment. You do not need to be a Java developer to get started. A simple DSL lets you build complex stream and job definitions that includes the scoring of machine learning algorithms in just a few simple steps.
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Big Data, Little Time : Taking the Complexity out of creating Big Data applications
Mark Pollack has been a contributor to many Spring projects dating back to the Spring Framework in 2003. Other projects included founding Spring.NET, and Spring Data. He currently is the co-lead of the Spring XD project that aims to simply the creation of Big Data solutions.