Name: Simplifying Application Development on Hadoop
Start: 2014-05-26T19:00:00-07:00
End: 2014-05-26T21:30:00-07:00
Location: SoundCloud

Note: This MeetUp is taking place in Berlin, Germany. Anyone attending Berlin Buzzwords, or anyone else in Berlin, with an interest in data-driven app development is welcome to attend.

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Simplifying Application Development on Hadoop

Hadoop is an integral part of the big data ecosystem and can process huge datasets in a reliable, scalable and distributed manner. But the MapReduce programming model is cumbersome, complex and messy to develop and maintain. Is there a way to harness the power of Hadoop in an easy to use, clean framework and extend it seamlessly for predictive modeling?

This session is about simplifying application development on Hadoop by using Cascading, an open source Java application framework that provides higher level data processing abstractions. This talk focuses on our experience in building complex data flow applications, that are enterprise-grade, through test driven development. The talk will also be showcasing, through live demo and code, how an application developed with Cascading can be extended to integrate with predictive models built with analytics tools, like R, and scaled-out on a Hadoop cluster.

Our Speaker: Vinoth Kannan is a Software Developer and Big Data Engineer at WidasConcepts.

Our Hosts: SoundCloud, based in Berlin, is leveraging Scalding to create the world’s leading social sound platform.

For more information about Cascading: Visit http://cascading.org

Bob Taylor

Cascading

Technology

Hadoop

MapReduce

Enterprise Architecture

Big Data

Cloud Computing

Scala

Clojure

Java

Machine Learning

Predictive Analytics

Data Analytics

NoSQL

Data Science

Simplifying Application Development on Hadoop

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Simplifying Application Development on Hadoop

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