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Monday, August 17 • 2:20pm - 2:40pm
Introducing Java/Hadoop Developers to Scala/Spark

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Over the past several years, a variety of education and training programs have taught Java developers how to solve big data problems using the Hadoop MapReduce framework. With the addition of the Spark in-memory processing paradigm, and the associated attractive Scala API, these developers now face the dual challenge of a new programming language and paradigm. In this talk, I will discuss the basic issues faced in this transition, discussing both concepts that carry over and new ones encountered, along with a suggested roadmap for learning these two technologies.

Speakers
avatar for Brad Rubin

Brad Rubin

Director, Center of Excellence for Big Data, University of St. Thomas
Brad Rubin is an Associate Professor at the University of St. Thomas in St. Paul in the Graduate Programs in Software department where he teaches Big Data Architecture, Software Analysis and Design, Computer Security, and Advanced Computer Security. Most recently, he is pursuing a research agenda using the Hadoop ecosystem.


Monday August 17, 2015 2:20pm - 2:40pm
Track B

Attendees (7)