304 search results for "hadoop"

Big Data Analytics predictions for 2014

December 31, 2013
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As we close out the year, we asked a few members of the Revolution Analytics team to make a few predictions about big data analytics, data science and R for 2014. Here's what they came up with (including a few from yours truly). Michele Chambers, Chief Strategy Officer and VP Product Management While the sexiest job in 2013 was...

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Tips on Computing with Big Data in R

December 26, 2013
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by Joseph Rickert The Revolution R Enterprise 7.0 Getting started Guide makes a distinction between High Performance Computing (HPC) which is CPU centric, focusing on using many cores to perform lots of processing on small amounts of data, and High Performance Analytics (HPA), data centric computing that concentrates on feeding data to cores, disk I/O, data locality, efficient threading,...

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Apache Spark for Big Analytics

December 23, 2013
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Apache Spark for Big Analytics

by Thomas Dinsmore, Director of Product Management at Revolution Analytics The emergence of Apache Spark is a key development for Big Analytics in 2013. Spark, an Apache incubator project, is an open source distributed computing framework for advanced analytics in Hadoop. Originally developed as a research project at UC Berkeley's AMPLab, the project achieved incubator status in Apache in...

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New book release: Data Mining Applications with R

December 23, 2013
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New book release: Data Mining Applications with R

Book title: Data Mining Applications with R Editors: Yanchang Zhao, Yonghua Cen Publisher: Elsevier Publish date: December 2013 ISBN: 978-0-12-411511-8 Length: 514 pages URL: http://www.rdatamining.com/books/dmar An edited book titled Data Mining Applications with R was released in December 2013, which … Continue reading →

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Revolution R Enterprise 7 now generally available

December 16, 2013
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Now that the limited availability period is complete, we're pleased to announce that Revolution R Enterprise 7 is now generally available for all customers on the following platforms (see the detailed list of supported platforms): Windows and Red Hat Enterprise Linux workstations Windows, Red Hat Enterprise Linux and SUSE Linux servers Platform LSF and Microsoft HPC Server clusters Cloudera...

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Understanding the data analytics project life cycle

December 12, 2013
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Understanding the data analytics project life cycle

While dealing with the data analytics projects, there are some fixed tasks that should be followed to get the expected output. So here we are going to build a data analytics project cycle, which will be a set of standard data-driven processes to lead data to insights effectively. The defined data analytics processes of a The post Understanding...

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Thursday: Scalable Cross-Platform R-Based Predictive Analytics

December 11, 2013
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Tomorrow at 11AM Pacific Time, Revolution Analytics' Chief Scientist Mario Inchiosa will present a live webinar on Scalable Cross-Platform R-Based Predictive Analytics. Here's the abstract: In this webinar we will take a quick tour through an end-to-end predictive analytics session. We will start by exploring our data with summaries and histograms. Using the knowledge gleaned from data exploration, we...

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In case you missed it: November 2013 Roundup

December 10, 2013
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In case you missed them, here are some articles from October of particular interest to R users: A recap of the Strata Hadoop World conference, including presentations from Monsanto and eHarmony on their use of R. How to rank and chart the most frequent hashtags of Twitter users with R. A replay of the What’s new in Revolution R...

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14 Analytics Predictions for 2014

December 3, 2013
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In a live webinar today hosted by Alteryx, five industry experts shared 14 analytics predictions for 2014. The panel included Paul Ross (Alteryx), Charles Zedlewski (Cloudera), Rick Schultz (Alteryx), Ellie Fields (Tableau) and Michele Chambers (Revolution Analytics). Their predictions were: Analysts will matter more than data scientists R will replace legacy SAS solutions and go mainstream Big Data will...

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Preview of book Data Mining Applications with R

December 3, 2013
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Preview of book Data Mining Applications with R

An edited book titled Data Mining Applications with R will be on market soon, which features 15 real-word applications on data mining with R. A preview of the book is available on Google Books. R code, data and color figures … Continue reading →

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