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Building a Recommendation Engine with Spring and Hadoop
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| by Michael Minella Follow 0 Followers on Mar 08, 2015 |
01:15:43

Summary
Michael Minella uses Spring XD and Spring Batch to orchestrate the full lifecycle of Hadoop processing (ingest, process, export) and uses Apache Mahout to provide the audience with the recommendation processing.

Bio

Michael Minella works for Pivotal as the project lead for the Spring Batch project as well as an instructor at DePaul University. Michael is the author of Pro Spring Batch and of Refcard JUnit and EasyMock.

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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