Scalable Data Science with SparkR

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R is a very popular platform for Data Science. Apache Spark is a highly scalable data platform. How could we have the best of both worlds? How could a Data Scientist leverage the rich 9000+ packages on CRAN, and integrate Spark into their existing Data Science toolset?In this talk we will walkthrough many examples how several new features in Apache Spark 2.x will enable this. We will also look at exciting changes in and coming next in Apache Spark 2.x releases.

About Felix Cheung

Felix Cheung is a Committer of Apache Spark and a PMC/Committer of Apache Zeppelin. He has been active in the Big Data space for 3+ years, he is a co-organizer of the Seattle Spark Meetup, presented several times and he was a teaching assistant to the very popular edx Introduction to Big Data with Apache Spark, and Scalable Machine Learning MOOCs in the summer of 2015.