382 search results for "hadoop"

My Experience at Hadoop Summit 2010 #hadoopsummit

June 30, 2010
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My Experience at Hadoop Summit 2010 #hadoopsummit

This week I had the opportunity the trek up north to Silicon Valley to attend Yahoo’s Hadoop Summit 2010. I love Silicon Valley. The few times I’ve been there the weather was perfect (often warmer than LA), little to no traffic, no road rage and people overall seem friendly and happy. Not to mention there are so many trees...

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You can Hadoop it! It’s elastic! Boogie woogie woog-ie!

February 16, 2010
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You can Hadoop it! It’s elastic! Boogie woogie woog-ie!

I just came back from the future and let me be the first to tell you this: Learn some Chinese. And more than just cào nǐ niáng (肏你娘) which your friend in grad school told you means “Live happy with many blessings”. Trust me, I’ve been hanging with Madam Wu and she told me

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Streaming Hadoop Data Into R Scripts

March 23, 2009
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Streaming Hadoop Data Into R Scripts

Along the lines of Mongo Measurement Requires Mongo Management, the HadoopStreaming package on CRAN provides utilities for applying R scripts to Hadoop streaming. Hadoop is used on Amazon's EC2.

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In case you missed it: April 2015 roundup

May 8, 2015
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In case you missed them, here are some articles from April of particular interest to R users. Joseph Rickert reviews the inaugural New York City R User Conference, featuring Andrew Gelman. Engineer Vineet Abraham compares performance benchmarks for R and Revolution R Open on OS X and Ubuntu. R was featured in the keynotes for the BUILD developer’s conference....

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useR! 2015 conference in Aalborg

May 6, 2015
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useR! 2015 conference in Aalborg

The annual R conference bringing together users and developers from academia and industry is going to be held in Aalborg, Denmark, this summer, 1-3 July. The day prior to the conference 16 R tutorials are offered free of charge to the participants. The list of topics include dplyr, Tessera, Bioconductor, Grid graphics and RHadoop. In addition to our six...

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See R in action at the BUILD conference

April 29, 2015
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See R in action at the BUILD conference

Build 2015, the Microsoft conference which brings around 5,000 developers to the Moscone Center in San Francisco, begins tomorrow. The conference is sold out, but you can livestream the keynote presentations from buildwindows.com to catch all the big announcements. You can also follow along on Twitter at the #Build2015 hashtag. There will be a major keynote presentation featuring CEO...

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The Intersection of “Data Capital” and Advanced Analytics

April 17, 2015
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We’ve heard about the Three Laws of Data Capital from Paul Sonderegger at Oracle: data comes from activity, data tends to make more data, and platforms tend to win. Advanced analytics enables enterprises to take full advantage of the data their activity produces, ranging from IoT sensors and PoS transactions to social media and image/video. Traditional BI tools...

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Coarse Grain Parallelism with foreach and rxExec

April 2, 2015
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by Joseph Rickert I have written a several posts about the Parallel External Memory Algorithms (PEMAs) in Revolution Analytics’ RevoScaleR package, most recently about rxBTrees(), but I haven’t said much about rxExec(). rxExec() is not itself a PEMA, but it can be used to write parallel algorithms. Pre-built PEMAs such as rxBTrees(), rxLinMod(), etc are inherently parallel algorithms designed...

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A first look at rxBTrees

March 19, 2015
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A first look at rxBTrees

by Joseph Rickert The gradient boosting machine as developed by Friedman, Hastie, Tibshirani and others, has become an extremely successful algorithm for dealing with both classification and regression problems and is now an essential feature of any machine learning toolbox. R’s gbm() function (gbm package) is a particularly well crafted implementation of the gradient boosting machine that served as...

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The impact of open source software on the data science revolution

March 16, 2015
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It's hard to overstate the role of open-source software in the data science revolution. Tools like Hadoop, Spark, R, and Python are essential parts of the modern data science toolkit. These tools are likewise part of the solutions built by the Consulting Services group at Revolution Analytics. Our VP of Professional Services, Neera Talbert, shares her view on the...

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