352 search results for "hadoop"

eoda’s R-academy celebrates its third anniversary and is extending the extensive training program for R

September 30, 2013
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The free statistical programming language R becomes more and more popular, even in German speaking areas. This happens for various reasons. Besides from its performance, its quality and its open source character, R scores with its various possibilities for integration. Beyond that R offers a multitude of possibilities in the field of multivariate analysis methods.

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Working with intraday data

September 24, 2013
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When working with intraday data, analysts are often facing a large dataset problem. R is well equipped to deal with this but the standard approach has to be modified in some ways. Large dataset means different things to different people. I’m talking here about a dataset of less than 10 columns and 2 to 5

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Big Data Bytes: How Open Source is Changing Business

September 23, 2013
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Big Data Bytes: How Open Source is Changing Business

I had a fun time on Friday in a Google Hangout chat with David Pittman (IBM), Eric Kavanagh (Bloor Group) and Tom Deutsch (IBM), where we talked about how open source is changing business. The conversation covered several open source projects including R and Hadoop, and ranged from the impact of open source on total cost of ownership, finding...

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Revolution Newsletter: September 2013

September 17, 2013
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The most recent edition of the Revolution Newsletter is now available. In case you missed it, the news section is below, and you can read the full September edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Rrrr, Mateys! September 19th is International Talk Like...

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In case you missed it: August 2013 Roundup

September 11, 2013
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In case you missed them, here are some articles from August of particular interest to R users: A tutorial on parallel programming with the foreach, doMC and doSNOW packages. Joe Rickert reviews R's capabilities for linear algebra, sparse matrices and big matrices. How R is disrupting the insurance industry with big data. Revolution Analytics has teamed with Cloudera to...

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R in the news

September 6, 2013
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R has been featured in a couple of recent articles in the tech press. Last month, Data Informed's feature article 5 Key Considerations When Choosing Open Source Statistics Software suggested R for its analytics capabilities: Certainly, the statistical language R, for instance, is these days hugely popular—not least because it’s free, rather than requiring users to pay SAS’s and...

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Two presentations on Big Data Big Analytics with R

September 4, 2013
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Last week, Revolution Analytics' US Chief Scientist Mario Inchiosa gave a presentation on high-performance predictive analytics in R and Hadoop, showing how Revolution R Enterprise 7 will bring the high-performance predictable algorithms of ScaleR to run on Cloudera and Hortonworks Hadoop clusters, while retaining the same easy-to-use interface from the R language. Here are the slides from his presentation,...

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An example of MapReduce with rmr2

September 2, 2013
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R can be connected with Hadoop through the rmr2 package. The core of this package is mapreduce() function that allows to write some custom MapReduce algorithms. The aim of this article is to show how it works and to provide … Continue reading →

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Revolution Newsletter: August 2013

August 19, 2013
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The most recent edition of the Revolution Newsletter is now available. In case you missed it, the news section is below, and you can read the full August edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. What is R? Has anyone ever asked you,...

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In case you missed it: July 2013 Roundup

August 9, 2013
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In case you missed them, here are some articles from July of particular interest to R users: A new 90-second, creative commons video helps R enthusiasts share the history, community and applications of R. Analyst group Butler Analytics reviews 10 predictive analytics platforms, and says that "real analysts use R". An excellent example of Simpsons Paradox: US median wages...

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