345 search results for "hadoop"

R Users, Meet Joyent Manta; Manta Users, Meet R

January 17, 2014
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When I joined Joyent last year, I jumped on the opportunity to make R work with Joyent Manta. If you are new to Joyent, we are the High-Performance Cloud Infrastructure Company. If you are new to data analytics, the R language is a rich open-source env...

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R Users, Meet Joyent Manta; Manta Users, Meet R

January 17, 2014
By

When I joined Joyent last year, I jumped on the opportunity to make R work with Joyent Manta. If you are new to Joyent, we are the High-Performance Cloud Infrastructure Company. If you are new to data analytics, the R language is a rich open-source env...

Read more »

R Users, Meet Joyent Manta; Manta Users, Meet R

January 17, 2014
By

When I joined Joyent last year, I jumped on the opportunity to make R work with Joyent Manta. If you are new to Joyent, we are the High-Performance Cloud Infrastructure Company. If you are new to data analytics, the R language is a rich open-source env...

Read more »

Guest Blogger Recap

January 13, 2014
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We had a marvellous series of guest posts here on the blog over the past few weeks. I'd like to give a special thanks to all of our guest bloggers for contributing, with special thanks to Joe Rickert for stepping in as our acting editor for the past 3 weeks. If you were celebrating or vacationing over the holidays,...

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Why R is Better Than Excel for Fantasy Football (and most other) Data Analysis

January 13, 2014
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Many articles have been written on why R is better than Excel for data analysis.  In this post, I will summarize the reasons why R is advantageous in most data The post Why R is Better Than Excel for Fantasy Football (and most other) Data Analysis appeared first on Fantasy Football Analytics.

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Hungarian RUG: lighting talks

January 13, 2014
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Hungarian RUG: lighting talks

The only Hungarian R User Group so far, the Budapest Users of R Network (BURN), with already more than 120 members, is hosting several lighting talks on the 15th of January (Wednesday): Bence Arató (BI Consulting): Who uses R? László Bodó: C++ calls in R Csaba Burger (Burg Analytics): Financial decisions with lme4  Gergely Daróczi (rapporter.net): A Pandoc writer in R Imre Kocsis (

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Forecasting By Combining Expert Opinion

January 3, 2014
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Forecasting By Combining Expert Opinion

by Michael Helbraun Michael is member of Revolution Analytics Sales Support team. In the following post, he shows how to synthesize a probability distribution from the opinion of multiple experts: an excellent way to construct a Bayesian prior. There are lots of different ways to forecast. Depending on whether there’s historical data, trend, or seasonality you might choose to...

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Big Data Analytics predictions for 2014

December 31, 2013
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As we close out the year, we asked a few members of the Revolution Analytics team to make a few predictions about big data analytics, data science and R for 2014. Here's what they came up with (including a few from yours truly). Michele Chambers, Chief Strategy Officer and VP Product Management While the sexiest job in 2013 was...

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Tips on Computing with Big Data in R

December 26, 2013
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by Joseph Rickert The Revolution R Enterprise 7.0 Getting started Guide makes a distinction between High Performance Computing (HPC) which is CPU centric, focusing on using many cores to perform lots of processing on small amounts of data, and High Performance Analytics (HPA), data centric computing that concentrates on feeding data to cores, disk I/O, data locality, efficient threading,...

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Apache Spark for Big Analytics

December 23, 2013
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Apache Spark for Big Analytics

by Thomas Dinsmore, Director of Product Management at Revolution Analytics The emergence of Apache Spark is a key development for Big Analytics in 2013. Spark, an Apache incubator project, is an open source distributed computing framework for advanced analytics in Hadoop. Originally developed as a research project at UC Berkeley's AMPLab, the project achieved incubator status in Apache in...

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