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Scaling your R Analytics Using Hadoop & Spark w/IBM & Galvanize!

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Scaling your R Analytics Using Hadoop & Spark w/IBM & Galvanize!

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RSVP HERE TO ENSURE YOUR SPACE, ONLY 75 SEATS AVAILABLE! (http://www.eventbrite.com/e/scaling-your-r-analytics-using-hadoop-spark-wibm-galvanize-tickets-22126376588?aff=Meetup)

Agenda:

Doors Open & Mingling: 6:00-6:30pm

Scaling your R Analytics Using Hadoop & Spark: 6:30-7:30pm

Q&A: 7:30-8:00pm

Over the past decade there has been a shift in the world of analytics, not only in academics, but also in industries around the world. The R programming tool has taken the world by storm and is not the predominant tool used for computational statistics, data science, and visualization. There are millions of people in all industries using R to solve their most challenging issues today. R is the most popular language for data science – and is used by the largest analytics driven companies like Google, Linkedin, Facebook, etc.

Hadoop has been helping developers to run R programs in a distributed Hadoop environment. In the past couple of years we have also seen another open source project (Spark) also take the world by storm.

RStudio is a primary development tool used by R developers. This session will discuss how to use the same RStudio interactive development environment to connect to Hadoop & Spark (Spark R) to leverage the scalability of these "distributed" Analytics environments.

About the speaker: Virender Thakur

Virender Thakur is working at IBM as a Big Data Technical Sales Specialist, supporting customers in NJ/NY area for Hadoop, Spark and Streams technologies.

Prior to IBM, he has worked at EMC/Pivotal, Microsoft, Oracle and Financial Services in various technical, Sales/Pre-Sales roles related to DB/DW/Business Intelligence technologies.

RSVP HERE TO ENSURE YOUR SPACE, ONLY 75 SEATS AVAILABLE! (http://www.eventbrite.com/e/scaling-your-r-analytics-using-hadoop-spark-wibm-galvanize-tickets-22126376588?aff=Meetup)

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