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 workflow 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.
Mark Pollack has been a core Spring (Java) developer since 2003, founded its Microsoft counterpart, Spring.NET, in 2004 and led the Spring Data from project 2011 to 2014. He now co-leads the Spring XD project that aims to simplify Big Data application development involving event streams, ETL, and Hadoop. Mark is co-author of the Spring Data book by O’Reilly Media.