306 search results for "hadoop"

Tabular Data I/O in Julia

August 6, 2013
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Importing tabular data into Julia can be done in (at least) three ways: reading a delimited file into an array, reading a delimited file into a DataFrame and accessing databases using ODBC. Reading a file into an array using readdlm The most basic way to read data into Julia is through the use of the Tabular Data I/O...

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Butler Analytics: Real Analysts use R

July 31, 2013
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In an overview of several predictive analytics platforms (including SPSS, Oracle and SAS), Butler Analytics offers this 4.5/5 star review of Revolution R Enterprise: Real analysts use R – well it sounds a bit macho, but actually there is some truth in it. R is the most widely used, and arguably the most powerful analysis software on the planet....

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Revolution Analytics Supports the R Community

July 25, 2013
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by Joseph Rickert Early on, Revolution Analytics realized that R is more than just a tool for statistical computing — it is also the culture that has grown up around the use of the tool. The R culture is open and inclusive, competitive but also nourishing. There is a strong sense of community that encourages contribution and growth. We...

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Another great year together. Have a good vacation!

July 24, 2013
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Another great year together. Have a good vacation!

Dear R users, August is just round the corner and MilanoR close for vacation. From September 2012, we have organized two meetings in Milano, the first Italian bioR day and two R courses. We published 14 posts in the blog. … Continue reading →

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Analyzing Your Data on the AWS Cloud (with R)

July 22, 2013
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Analyzing Your Data on the AWS Cloud (with R)

Guest post by Jonathan Rosenblatt Disclaimer: This post is not intended to be a comprehensive review, but more of a “getting started guide”. If I did not mention an important tool or package I apologize, and invite readers to contribute in the comments. …Read more »

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Real-Time Big Data Analytics: Emerging Architecture

July 19, 2013
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Real-Time Big Data Analytics: Emerging Architecture

O'Reilly Media has published a new whitepaper, Real-Time Big Data Analytics: Emerging Architecture. This 32-page document describes the processes and components necessary for getting on-demand information from big-data stores such as Hadoop. It answers the questions "How fast is fast?" and "How real is real-time?" and "how big is big?", and provides practical guidance for implementing real-time analytics systems....

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Connect R with Myrrix – Mahout & Cloudera’s real-time, scalable recommender system

Connect R with Myrrix – Mahout & Cloudera’s real-time, scalable recommender system

(This article was first published on BNOSAC - Belgium Network of Open Source Analytical Consultants, and kindly contributed to R-bloggers) Myrrix is probably more known by java developers and users of Mahout than R users. This is because most of the times java and R developers live in a different community.  If you go to the website of Myrrix...

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Revolution Newsletter: July 2013

July 15, 2013
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The most recent edition of the Revolution Newsletter came out a couple of weeks ago. In case you missed it, the news section is below, and you can read the full July edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Let’s Be Quick About...

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In case you missed it: June 2013 Roundup

July 3, 2013
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In case you missed them, here are some articles from June of particular interest to R users: You can create a Word document from a template and an R script with the R2DOCX package. Joe Rickert reviews books and other resources for learning about time series analysis in R. Timely Portfolio covers 15 years of history of time series...

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Predictive analysis on Web Analytics tool data

July 3, 2013
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Predictive analysis on Web Analytics tool data

In our previous webinar, we discussed on predictive analytics and basic things to perform predictive analysis. We also discussed on an eCommerce problem and how it can be solved using predictive analysis. In this post, I will explain R script that I used to perform predictive analysis during webinar. Before I explain about R script,

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