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Apache Spark for Big Data Processing
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| by Ludwine Probst Follow 0 Followers , Ilayaperumal Gopinathan Follow 1 Followers on Feb 14, 2016 |

Ilayaperumal Gopinathan and Ludwine Probst aim at giving a portrait of Spark and at browsing its ecosystem, in particular Spark Streaming and MLlib with a concrete example. They also show how to use Spark with Spring XD, allowing you to take advantage of the strengths in each platform.

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Ilayaperumal Gopinathan is a software engineer at Pivotal. Ludwine Probst is a data engineer - Maths - Machine Learning - Duchess France Leader - GDG Leader.

This is a one-of-a-kind conference for application developers, solution and data architects: people who develop business applications, create multi-device aware web applications, process vast quantities of enterprise data, design cloud architectures, and manage high performance infrastructure. The sessions are specifically tailored for Developers and Architects using the popular open source Spring IO Projects, Groovy & Grails, Cloud Foundry, RabbitMQ, Redis, Geode, Hadoop and Tomcat technologies. Whether you're building mission-critical web or business applications, crunching huge amounts of distributed data, or designing the next killer cloud native application, SpringOne2GX will keep you up to date with the latest enterprise technology.

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