304 search results for "hadoop"

SAS Big Data Analytics Benchmark (Part Two)

May 7, 2013
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by Thomas Dinsmore On April 26, SAS published on its website an undated Technical Paper entitled Big Data Analytics: Benchmarking SAS, R and Mahout. In the paper, the authors (Allison J. Ames, Ralph Abbey and Wayne Thompson) describe a recent project to compare model quality, product completeness and ease of use for two SAS products together with open source...

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How UpStream uses R for Attribution Analysis

April 29, 2013
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Major retailers like Williams Sonoma use UpStream Software for marketing analytics, including revenue attribution, targeting, and optimization. In the video below Tess Nesbitt (senior statistician at UpStream) describes how she uses Revolution R Enterprise and Hadoop to figure out the impact on various marketing channels (for example direct mail, email offers, and catalogs) on consumer retail sales. (The slides...

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Revolution Newsletter: April 2013

April 26, 2013
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The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full April edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Now Available: Revolution R Enterprise 6.2. Released today, this update further enhances the performance,...

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FasteR! HigheR! StrongeR! – A Guide to Speeding Up R Code for Busy People

April 25, 2013
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FasteR! HigheR! StrongeR! – A Guide to Speeding Up R Code for Busy People

This is an overview of tools for speeding up your R code that I wrote for the Davis R Users’ Group. First, Ask “Why?” It’s customary to quote Donald Knuth at this point, but instead I’ll quote my twitter buddy Ted Hart to illustrate a point:I’m just going to say it.I like for loops in #Rstats,...

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Amazon AWS Summit 2013

April 18, 2013
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Amazon AWS Summit 2013

I was fortunate enough to have been able to attend the Amazon AWS Summit in NYC and to listen to Werner Vogels give the keynote.  I will share a few of my thoughts on the AWS 2013 Summit and some of my take-aways.  I attended sessions that focused on two products in particular: Redshift and

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Mind Reading… What are our customers thinking?

April 17, 2013
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Looking Ahead: Revolution R Enterprise Release 7

April 16, 2013
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by Thomas Dinsmore Revolution R Enterprise Release 6.2 goes live next week, so naturally our development team is thinking ahead to Release 7, which we plan to release later this year. Some of those enhancements are hush-hush, and we can't talk about them yet. But one of the most important enhancements we've already announced: support for predictive analytics inside...

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In case you missed it: March 2013 Roundup

April 10, 2013
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In case you missed them, here are some articles from March of particular interest to R users. Facebook used R to analyze profile photo changes to create a map of same-sex marriage support in the USA. Joe Rickert contrasts random sampling with fitting models directly to large data sets. A presentation by Carlos Somohano summarizes the history, skills and...

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Instructions for Installing & Using R on Amazon EC2

April 8, 2013
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If you’re an R user, you’ve surely heard all the hype around ‘big data’ and how R is commonly used to analyze these volumes of data. One thing that’s often missing from the discussion is HOW to work around issues using big data and R, specifically how to deal with the fact that R stores Instructions for Installing...

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Lots of data != "Big Data"

March 28, 2013
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Lots of data != "Big Data"

by Joseph Rickert When talking with data scientists and analysts — who are working with large scale data analytics platforms such as Hadoop — about the best way to do some sophisticated modeling task it is not uncommon for someone to say, "We have all of the data. Why not just use it all?" This sort of comment often...

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