Posts Tagged ‘ Rmedia ’

NYT on Big Data and R

October 24, 2011
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In the New York Times' "Bits" blog today, Quentin Hardy offers recollections on Big Data talks at the recent Web 2.0 Summit. He begins with a definition of Big Data: Big Data is really about ... the benefits we will gain by cleverly sifting through it to find and exploit new patterns and relationships. You see it now in...

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Oracle’s Big Data Appliance to include R

October 3, 2011
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At the Oracle OpenWorld conference in San Francisco today, Oracle announced the new Oracle Big Data Appliance, "a new engineered system that includes an open source distribution of Apache™ Hadoop™, Oracle NoSQL Database, Oracle Data Integrator Application Adapter for Hadoop, Oracle Loader for Hadoop, and an open source distribution of R." Oracle's foray into the Hadoop and NoSQL spaces...

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Unlocking Big Data with R

September 9, 2011
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I have an article out this week on ReadWriteHack: Unlocking Big Data with R. My thanks to the folks at ReadWriteWeb for giving us the opportunity to showcase some of the many real-world Big Data applications of R. Here are some additional links about the applications mentioned in the article: New York Times: Destruction of the Haiti earthquake; 2010...

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FastCompany on telling stories with data

August 11, 2011
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An article in FastCompany today profiles two websites that excel in telling engaging stories with data: the FlowingData and OkTrends blogs. Both sites often use R for data analysis and data visualization, and have been featured here on this blog. FlowingData regularly posts guides on how to use R to recreate many of its featured visualizations with bubble charts,...

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IBM Netezza: Embrace open source analytics

July 22, 2011
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Earlier this month Thomas Dinsmore, solutions architect for IBM Netezza’s Advanced Analytics team, had a great blog post on why companies should embrace R as an analytics platform. He says: There are three main reasons R should be part of your enterprise analytics architecture: R has capabilities not available in commercial analytics software Usage of R by analysts is...

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GigaOm article on R, Big Data and Data Science

July 18, 2011
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I'm really pleased that an article I wrote, "5 real-world uses of big data", has been published in the widely-read technology blog GigaOm. In the article, I review five examples of using data science techniques and R to make sense of some large real-world data sets: Drew Conway's analysis of the Afghanistan attacks data released by Wikileaks Benetech's use...

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NYT on the importance of reproducible research

July 8, 2011
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NYT on the importance of reproducible research

Yesterday's New York Times includes a great article on the failure of some genetic tests for cancer detection, and the flaws in the research that led to them. The article features quotes from Keith Baggerly of MD Anderson Cancer Center, and includes a photo of him and colleague Kevin Coombes in front of a page of R code: The...

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Hot Job in IT: Data Science

June 14, 2011
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CIO Magazine today has an article on the "6 Hottest New Jobs in IT" in which features Data Science and R at #2: "There's now an intellectual consensus in business that the only way to run an enterprise is to use analytics with data scientists to find opportunities," says Norman Nie, CEO of Revolution Analytics, which produces the first...

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Gartner: Revolution Analytics a "Cool Vendor" for BI

April 29, 2011
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Leading analyst firm Gartner has just published its "Cool Vendors in Analytics and Business Intelligence" report for 2011 (download it here if you have a Gartner subscription). In the report, Revolution Analytics is named a Gartner Cool Vendor, and recognizes the company as "innovative, impactful and intriguing": Driven in part by the rise of big data, business intelligence (BI)...

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ComputerWorld on R for data analysis and visualization

April 20, 2011
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ComputerWorld's feature today, 22 free tools for data visualization and analysis, suggests open-source R as the third entry on the list: What it does: R is a general statistical analysis platform (the authors call it an "environment") that runs on the command line. Need to find means, medians, standard deviations, correlations? R can handle that and much more, including...

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