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Introduction to Spring for Apache Hadoop
Recorded at:

| by Thomas Risberg Follow 2 Followers on Jan 10, 2015 |
01:20:18

Summary
Thomas Risberg introduces the Spring for Apache Hadoop project and discusses how it can make developing workflows with Map Reduce, Hive and Pig jobs easier, while providing portability across ASF, Cloudera, HortonWorks, and Pivotal distros. He also discusses integration with Spring XD, batch jobs and external data sources.

Bio

Thomas Risberg works as a software engineer on the Spring Data and Spring XD teams at Pivotal.

Pivotal and No Fluff Just Stuff bring you SpringOne 2GX 2014, a one-of-a-kind conference for application developers, solution architects, web operations and IT teams who develop business applications, create multi-device aware web applications, design cloud architectures, and manage high performance infrastructure. The sessions are specifically tailored for developers using the hugely popular open source Spring IO projects, Groovy & Grails, Cloud Foundry, Hadoop and Tomcat technologies. Whether you're building and running mission-critical business applications, designing the next killer cloud or big data application, SpringOne 2GX will keep you up to date with the latest enterprise open source technology.

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