307 search results for "hadoop"

Revolution Newsletter: February 2013

February 25, 2013
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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 February edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Case study: Real-Time Marketing Analytics. Online advertising technology company Exelate uses predictive models to...

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Free e-book on Data Science with R

February 22, 2013
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Free e-book on Data Science with R

A new book by Jeffrey Stanton from Syracuse Iniversity School of Information Studies, An Introduction to Data Science, is now available for free download. The book, developed for Syracuse's Certificate for Data Science, is available under a Creative Commons License as a PDF (20Mb) or as an interactive eBook from iTunes. The book begins with the following clear definition...

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Video: IBM Opinionated Infrastructure Hangout

February 22, 2013
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Had a great time earlier this week on a Google Hangout as part of the IBM Opinionated Infrastructure series. Moderator James Governor (analyst from RedMonk) kept the conversation lively, with topics ranging from to the value of information to the benefits of predictive analytics and evolution of Hadoop. R gets a mention at several points in the conversation, which...

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R in the news: Interviews with Revolution Analytics execs

February 22, 2013
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Here are three recent news articles that feature interviews with members of the Revolution Analytics team talking about the importance of the R language: In Forbes, CEO Dave Rich talks to Gil Press about the business landscape for Big Data. In the article, Dave says: SAS and SPSS remind me of Cobol and Fortran circa 1995. The scientific and...

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In case you missed it: January 2103 Roundup

February 13, 2013
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In case you missed them, here are some articles from January of particular interest to R users. Anthony Damico created an amusing and useful flowchart for finding resources for learning R, especially for survey analysis. All R users: please be counted for the 2013 Rexer Data Miner Survey (R was the #1 software reported in the last survey). Relatedly,...

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Revolution Newsletter: January 2013

January 23, 2013
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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 January edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Top Innovator, Big Data Technologies. Revolution Analytics is the proud recipient of the Top...

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In case you missed it: December 2012 Roundup

January 17, 2013
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In case you missed them, here are some articles from December of particular interest to R users. The blog is.R ran an excellent series of R tips and applications in December, with posts including working with Stata files, working with graphs and networks, and text analysis. Kohske Takahashi provides R scripts to create a collection of optical illusions. Highlights...

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Software engineer’s guide to getting started with data science

December 30, 2012
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Software engineer’s guide to getting started with data science

Many of my software engineer friends ask me about learning data science. There are many articles on this subject from renowned data scientists (Dataspora, Gigaom, Quora, Hilary Mason). This post captures my journey (a software engin...

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Oracle R Enterprise 1.3 released

December 26, 2012
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We're pleased to announce the latest release of Oracle R Enterprise, now available for download. Oracle R Enterprise 1.3 features new predictive analytics interfaces for in-database model building and scoring, support for in-database sampling and partitioning techniques, and transparent support for Oracle DATE and TIMESTAMP data types to facilitate data preparation for time series analysis and forecasting. Oracle...

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Data Science, Data Analysis, R and Python

The October 2012 issue of Harvard Business Review prominently features the words “Getting Control of Big Data” on the cover, and the magazine includes these three related articles:“Big Data: The Management Revolution,” by Andrew McAfee and Erik Brynjolfsson, pages 61 – 68;“Data Scientist: The Sexiest Job of the 21st Century,” by Thomas H. Davenport and D.J. Patil, pages...

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