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Developing 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 work flow orchestration and data import and export. Several open source projects that address developing big data applications have emerged in the past few years but each project typically only address one of these domains. Furthermore, being distinct independent projects they have different configuration and extensibility models.
Spring XD is a new project that aims to tackle big data complexity. It builds upon proven Spring technologies and provides a scalable runtime environment that is easily configured and assembled via a simple DSL. Come discover how easy it is to create big data applications in this introduction to Spring XD.
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Introducing Spring XD
Mark Fisher is an engineer within the SpringSource division of VMware and lead of the Spring Integration project. He is also a committer on the core Spring Framework and the Spring BlazeDS Integration project.