Spring XD makes it easy to solve common big data problems such as data ingestion and export, real-time analytics, and batch workflow orchestration. By building on mature, open source projects such as Spring Integration, Data and Batch, Spring XD will simplify the process of creating real-word big data solutions.
While it is possible today to build such solutions using Spring, Spring XD moves beyond the framework API level by providing an out-of-the-box executable ennvironment, a pluggable module system, a high level configuration DSL, a simple model for distributing data processing instances on or off the Hadoop cluster, and more. This talk will introduce XD through some simple examples and demonstrate how XD along with Pivotal GemFire can support real tIme analytics.
Our guest speaker will be David Turanski and he will be introducing Spring XD to our group.
David Turanski is a Principal Software Engineer with Pivotal. David is a member of the Spring XD team and former lead of the Spring Data GemFire project. He is also a committer on the Spring Integration project. David has extensive experience as a developer, architect and consultant serving a variety of industries. In addition he has trained hundreds of developers how to use the Spring Framework effectively.