332 search results for "hadoop"

Step-by-Step Guide to Setting Up an R-Hadoop System

May 30, 2014
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Step-by-Step Guide to Setting Up an R-Hadoop System

by Yanchang Zhao RDataMining.com Following my first R-Hadoop system setup guide written in Sept 2013, I have further tested setting up a Hadoop system for running R code, as well as using HBase. I have tested it both on a … Continue reading →

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MapReduce with R on Hadoop and Amazon EMR

April 25, 2014
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MapReduce with R on Hadoop and Amazon EMR

You all know why MapReduce is fancy – so let’s just jump right in. I like researching data and I like to see results fast – does that mean I enjoy the process of setting up a Hadoop cluster? No, … Continue reading →

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Hadoop for R’s Data scientist

December 29, 2013
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Hadoop for R’s Data scientist

I don’t exactly know where to start. But, after a real pleasant discussion with one of my ex colleague, it seems that there are many thongs around Hadoop ecosystem and R for analyst that should be said by a data scientist, means that, someone who don’t know much more about big data architecture, but who should know the essentials...

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How can R and Hadoop be used together?

November 26, 2013
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How can R and Hadoop be used together?

By inspired from this Quora question, I have been started working on how can R and Hadoop integrated to be used together? By very hard verification process, finally I got the possible ways to use R and Hadoop together for performing Big Data Analytics. This blog post is written with consideration of helping to a The post How...

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Strata + Hadoop World 2013 Recap

November 4, 2013
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Strata + Hadoop World 2013 Recap

We're back from NYC after a very busy Strata + Hadoop World 2013 conference. Many thanks to all the friendly folks who dropped by the Revolution Analytics booth, attended Joe and Antonio's R and Hadoop tutorial, or simply came up to say hello during the event. It was a jam-packed conference, literally standing room only at many times, so...

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Finding R in a Hadoop World

October 31, 2013
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Finding R in a Hadoop World

by Joseph Rickert The following is a brief report of all things R encountered in my not quite random, but nevertheless far from determined, walk through the O'Reilly Strata / Hadoop World Conference held this week in NYC. To start off, I had the pleasure of doing a 9:00 AM Monday morning joint tutorial with Antonio Piccolboni, the principal...

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Ask bigger questions with Revolution R Enterprise and Cloudera Hadoop

October 14, 2013
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If you missed last week's webinar R+Hadoop - Ask Bigger (and New) Questions and Get Better, Faster Answers, the slides and replay are now available for download at that link. I've also embedded the replay video below, where you can hear Michele Chambers (Revolution Analytics) and Jairam Ranganathan (Cloudera) discuss the second generation of modern analytics, predictive analytics in...

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Tomorrow: R+Hadoop Webinar with Cloudera and Revolution Analytics

October 2, 2013
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If you haven't already registered, don't miss tomorrow's webinar presented by Cloudera's Director of Product Strategy, Jairam Ranganathan and Michele Chambers, Chief Strategy Officer at Revolution Analytics. This will be a great opportunity to learn how R and CDH (Cloudera's Hadoop distribution) work together with the forthcoming Revolution R Enterprise 7. Here's what they will be talking about: The...

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Hortonworks Hadoop, Big Data and Data Science

September 20, 2013
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Over at the Hortonworks blog, I've shared some resources for getting started with Data Science and R. And if you'd like to learn more about how Hadoop and R fit into the modern data artchitecture, I'll be participating in a joint webinar with Hortonworks' John Kreisa. If you'd like to join, register at the link below. The Modern Data...

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Putting the R in Cloudera and Hortonworks Hadoop

September 16, 2013
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Datanami interviews Revolution Analytics' Bill Jacobs about the upcoming Revolution R Enterprise 7, which will be available later this year. A key feature of this release is that that the big-data predictive analytics R functions in the ScaleR package will run on data situated in a Hadoop cluster, and use the parallel computational power of the Hadoop nodes for...

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