356 search results for "hadoop"

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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Data Scientists and Statisticians: Can’t We All Just Get Along

August 9, 2013
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Data Scientists and Statisticians: Can’t We All Just Get Along

It seems that the title “data science” has taken the world by storm.  It’s a title that conjures up almost mystical abilities of a person garnering information from oceans of data with ease.  It’s where a data scientist can wave his or her hand like a Jedi Knight and simply tell the data what it

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Disrupting the Traditional Analytics Ecosystem

August 7, 2013
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This guest post is by Punit Kulkarni. Punit is the Director of Marketing at Symphony Analytics and a marketing technology enthusiast. He has helped Fortune 500 retailers and brands in building their customer loyalty programs, direct marketing and business analytics. As a trusted co-marketing partner of Revolution Analytics, Symphony Analytics is committed to developing predictive analytics solutions built upon...

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Tabular Data I/O in Julia

August 6, 2013
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Importing tabular data into Julia can be done in (at least) three ways: reading a delimited file into an array, reading a delimited file into a DataFrame and accessing databases using ODBC. Reading a file into an array using readdlm The most basic way to read data into Julia is through the use of the Tabular Data I/O...

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Butler Analytics: Real Analysts use R

July 31, 2013
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In an overview of several predictive analytics platforms (including SPSS, Oracle and SAS), Butler Analytics offers this 4.5/5 star review of Revolution R Enterprise: Real analysts use R – well it sounds a bit macho, but actually there is some truth in it. R is the most widely used, and arguably the most powerful analysis software on the planet....

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Revolution Analytics Supports the R Community

July 25, 2013
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by Joseph Rickert Early on, Revolution Analytics realized that R is more than just a tool for statistical computing — it is also the culture that has grown up around the use of the tool. The R culture is open and inclusive, competitive but also nourishing. There is a strong sense of community that encourages contribution and growth. We...

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Another great year together. Have a good vacation!

July 24, 2013
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Another great year together. Have a good vacation!

Dear R users, August is just round the corner and MilanoR close for vacation. From September 2012, we have organized two meetings in Milano, the first Italian bioR day and two R courses. We published 14 posts in the blog. … Continue reading →

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