Posts Tagged ‘ REvolution ’

Yes, you need more than just R for Big Data Analytics

May 2, 2012
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Douglas Merrill, former CIO/VP of Engineering at Google, writes in Forbes about using the R language for data analysis: Most folks with math-oriented graduate degrees will have written something in R, a non-commercial option for your big data analysis. So, great graduates from great graduate schools know great tools. His post is titled 'R Is Not Enough For "Big...

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Google BigQuery and the Github Data Challenge

May 1, 2012
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Github has made data on its code repositories, developer updates, forks etc. from the public GitHub timeline available for analysis, and is offering prizes for the most interesting visualization of the data. Sounds like a great challenge for R programmers! The R language is currently the 26th most popular on GitHub (up from #29 in December), and it would...

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Big Data statistics in the search for a cure for MS

April 26, 2012
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Multiple Sclerosis (MS) is a debilitating and complex disease with an unknown cause — and for which there is currently no cure. The SUNY Buffalo is home to one of the leading multiple sclerosis (MS) research centers in the world, and as reported in Healthcare IT News, the research team is using IBM Netezza and Revolution R Enterprise to...

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Revolution Newsletter: April 2012

April 20, 2012
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The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full April edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Spring Webinar Series. Our Spring Webinar Series features presentations from Revolution Analytics staff and...

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Simple tools for building a recommendation engine

April 19, 2012
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By Joseph Rickert Revolution’s resident economist, Saar Golde, is very fond of saying that “90% of what you might from a recommendation engine can be achieved with simple techniques”. To illustrate this point (without doing a lot of work), we downloaded the million row movie dataset from www.grouplens.org with the idea of just taking the first obvious exploratory step:...

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When do you need all the data for Big Analytics?

April 18, 2012
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In the 2012 edition of the SAP Sybase Capital Markets Guide, Revolution Analytics' Senior Advisor for Products and Strategy (and former CEO) Norman Nie writes about the "Five Benefits of Big Analytics". (You can also read his article at Enterprise Innovation.) Norman makes the argument that while sampling and aggregation are often useful ways of handling very large data...

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Revolution Analytics Spring Webinar Series

April 17, 2012
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The webinar team at Revolution Analytics has put together a great program over the next couple of months. With a mix of guest speakers and Revolution Analytics staff, this series will cover topics as diverse as Big Data with R and Hadoop, integrating R with MS Office, spatial statistics with R, data mining with R, retail marketing analytics, and...

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R at the Consumer Financial Protection Bureau

April 10, 2012
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The O'Reilly Radar blog has a lengthy and very interesting interview with the lead and deputy CIOs of the Consumer Financial Protection Bureau, the new US government agency devoted to consumer protections in the financial markets. In that interview, they talk about the many open-source tools used in the agency (and the parent Treasury Department): Linux, WordPress, Splunk, Django,...

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The race for speed at the data layer

April 6, 2012
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The competition amongst database vendors to create the fastest, most powerful "data layer" — the hardware and software to provide storage for Big Data with high-performance data processing — is clearly heating up. The Netezza appliance has been so successful that IBM has been racing to keep up with demand. SAP is also seeing success with its HANA in-memory...

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Bigger data, better intelligence for government

March 28, 2012
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Tomorrow (at 2PM Eastern on Thursday), the White House White House Office of Science and Technology Policy will host a 90-minute forum on Challenges and Opportunities in Big Data. You can watch the event live at the previous link, and see federal government science heads from OSTP, NSF, NIH, DoE, DoD, DARPA and USGS outline how their agencies are...

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