356 search results for "hadoop"

New ASA Guidelines for Undergraduate Statistics Programs

December 12, 2014
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New ASA Guidelines for Undergraduate Statistics Programs

by Joseph Rickert The American Statistical Association (ASA) Undergraduate Guidelines Workgroup recently published the report Curriculum Guidelines for Undergraduate Programs in Statistical Science. Although intended for educators setting up or revamping Stats programs at colleges and universities, this concise, 17 page document should be good reading for anyone who wants to take charge of their own education in learning...

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Thursday Dec 11: Webinar on sports analytics with R and Storm

December 8, 2014
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A quick heads-up that this Thursday (December 11), Allen Day from MapR and Bill Jacobs from Revolution Analytics will be live presenting a new webinar, Batter Up! Advanced Sports Analytics with R and Storm. The analysis will be of baseball data, but the webinar will be of interest to anyone interested in doing large-scale statistical analysis with R of...

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Snowdoop, Part II

December 7, 2014
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Snowdoop, Part II

In my last post, I questioned whether the fancy Big Data processing tools such as Hadoop and Spark are really necessary for us R users.  My argument was that (a) these tools tend to be difficult to install and configure, especially for non-geeks; (b) the tools require learning new computation paradigms and function calls; and … Continue reading...

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How About a “Snowdoop” Package?

November 26, 2014
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Along with all the hoopla on Big Data in recent years came a lot of hype on Hadoop.  This eventually spread to the R world, with sophisticated packages being developed such as rmr to run on top of Hadoop. Hadoop made it convenient to process data in very large distributed databases, and also convenient to create … Continue reading...

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LA R Meetup Summary: Highlights from useR! 2014 – Part 2

November 18, 2014
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LA R Meetup Summary: Highlights from useR! 2014 – Part 2

Last week the LA R meetup featured another round of 5 speakers each highlighting a...

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11 new R jobs (for November 18th 2014)

November 18, 2014
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11 new R jobs (for November 18th 2014)

This is the bimonthly R Jobs post (for 2014-11-18), based on the R-bloggers’ sister website: R-users.com. If you are an employer who is looking to hire people from the R community, please visit this link to post a new R job (it’s free, and registration takes less than 10 seconds). If you are a job seekers, please follow the links below to learn more and apply for your job of interest (or visit previous...

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Mobility from Mobile Phones

November 12, 2014
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Mobility from Mobile Phones

I have worked on big data in my work with QuBit in London. In my research I increasingly find the tools I learnt there to be extremely useful. The keywords are smart data management for big data, such as hadoop and hive for querying just the right set of data to work with. I am

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SBS documentary “The Age of Big Data”

November 8, 2014
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SBS documentary “The Age of Big Data”

by Yanchang Zhao, RDataMining.com “Data is becoming a powerful and most valuable commodity in 21st century. It is leading to scientific insights and new ways of understanding human behaviour. Data can also make you rich. Very rich.” — SBS documentary … Continue reading →

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Learn about Revolution R Open in live webinar, November 12

November 7, 2014
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On Wednesday next week, I'll be presenting a live webinar to introduce Revolution R Open and several other open source projects from Revolution Analytics. In the webinar I'll describe: The enhancements included in Revolution R Open The Reproducible R Toolkit and the checkpoint package How to call R from other applications with DeployR Open How to run R in...

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Introducing Revolution R Enterprise V 7.3

November 5, 2014
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by Bill Jacobs Revolution R Enterprise is the industry's first R-based analytics platform that supports a variety of parallel, grid and clustered systems such as Hadoop, Teradata database and Platform LSF Linux grids. Last year, we enhanced Revolution R Enterprise (RRE) to support big data systems, with support for Hadoop. We continued expansion of RRE in 2014, adding support...

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