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SpringOne2GX 2014 Replay: Introduction to Spring for Apache Hadoop

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SpringOne2GX 2014 Replay: Introduction to Spring for Apache Hadoop

· Java Zone
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In this complimentary, preview edition of the O’Reilly eBook on cloud-native Java, discover how Spring and Cloud Foundry make it easy to build cloud-native applications that create differentiated business value.  Brought to you in partnership with Pivotal.

Recorded at SpringOne2GX 2014.

Speaker: Thomas Risberg

Big Data Track

Slides: http://www.slideshare.net/SpringCentral/spring-one2gx-2014springforapachehadoop

Leverage your existing Java and Spring skills when making the jump to write applications and workflows for Apache Hadoop. In this presentation we will introduce the Spring for Apache Hadoop project and see how it can make developing workflows with Map Reduce, Hive and Pig jobs easier, while providing portability across ASF, Cloudera, HortonWorks, and Pivotal distros. We'll also look at integration with Spring XD, batch jobs and external data sources. In addition to all this we'll show how use a mini-cluster to test your new Hadoop workflows without having to deploy to a full cluster.

Read how Cloud Foundry, Spring Boot, and Spring Cloud offer the best tools to commoditize the architecture of the cloud. Download the free O’Reilly eBook today.  Brought to you in partnership with Pivotal.

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Published at DZone with permission of Pieter Humphrey, DZone MVB. See the original article here.

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