Tim Gasper (Product Manager at Big Data platform Infochimps) has an informative article at TechCrunch that provides an overview of five open-source technologies trending now for Big Data applications. They are: Storm and Kafka (for processing stream data) Drill and Dremel (for ad-hoc queries of big data) R (for data science with big data) Gremlin and Giraph (for graph...
Posts Tagged ‘ Rmedia ’
Effective Graphs with R
Today's guest post is by Naomi Robbins, author of the Effective Graphs blog — ed. I write a blog on effective graphs for Forbes. David Smith invited me to write a guest post here that was a roundup of some of my Forbes posts where R was used. My use of R graphics has ranged from simple box plots...
Surveys continue to rank R #1 for Data Mining
KDnuggets recently posted its annual poll on data mining software, and the R language retains its #1 ranking as the most commonly-used software for data mining: R is now used by 52.5% of poll respondents, compared with 45% last year. Donnie Berkholz provides an analysis of the year-on-year trends for Redmonk. He provides the chart below, and notes "the...
Another R mention in the NYT
The R language gets a brief mention in an article in yesterday's New York Times on automated bond trading: The traders here are mostly educated in math or physics, often outside the United States, and their desks are piled high with textbooks like the “R Graphs Cookbook,” for working with obscure computer programming languages. R an obscure programming language?...
CIO.com: R is a Big Data open-source technology to watch
CIO.com recently published its list of 9 open-source technologies to watch. Hadoop is first on the list, and second up is the R Project: R is an open source programming language and software environment designed for statistical computing and visualization. R was designed by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand beginning in 1993...
R Tops Data Mining Software Poll
For the past 12 years, KDNuggets has conducted an annual poll asking "What analytics/data mining software you used in the past 12 months for a real project (not just evaluation)". In this year's poll, R was the top-ranked data mining solution, selected by 30.7% of poll respondents. Microsoft Excel was second, at 29.8%. Rapidminer, which took the #1 spot...
Orbitz: R has become the data-mining tool of choice
Sameer Chopra, vice president of Advanced Analytics at Orbitz Worldwide, wrote recently in Analytics magazine about the changing landscape of processes, software and systems for statistical modelers. In a section on "Big Data and Open Source Analytics", Chopra lays out the reasons why the R language "has become the data-mining tool of choice for machine learners": R has very...
Thursday: Tweet-chat on Multiple Sclerosis research
The story about the great work that SUNY Buffalo has been doing to find a cure for Multiple Sclerosis with Revolution R Enterprise and IBM Netezza has generated a lot of attention, with stories in Forbes, InformationWeek and eWeek (amongst others). To continue the discussion, IBM has put together a panel for a "Tweet Chat" on Thursday (May 10)...
Yes, you need more than just R for Big Data Analytics
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...
Information Age: graduates driving industry adoption of R
Information Age recently published a feature article devoted to the R language, "Putting the R in analytics". Says author Pete Swabey: Already popular in universities, there are signs that R is finding increasing adoption in the enterprise. This promises to lower the barriers of entry for advanced analytics, and may accelerate the mathemitisation of business management. The article includes...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
