Sign-up here: http://meetu.ps/2kSwC4
Monday, May 26, 2014
7:00 PM (Central European Time Zone)
Greifswalder Str. 2112-213
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 cascading.org