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Revolution Confidential
Revolution R:
100% R and More
Presented by:
David Smith
VP Marketing, Revolution Analytics

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Revolution Confidential
Poll Question
Which stats package do you use
most?

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October 19, 2011: Welcome! Revolution Confidential
 Thanks for coming.
 Slides and replay available (soon) at:
 http://bit.ly/p6ulsu
David Smith
VP Marketing, Revolution Analytics
Editor, Revolutions blog
http://blog.revolutionanalytics.com
Twitter: @revodavid
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In today’s webcast: Revolution Confidential
 About Revolution Analytics and R
 What Revolution R adds to R
 Resources for getting more from R
 Q&A
Introducing Revolution R 4

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Download the White PaperConfidential
What is R? R is Hot
Revolution
bit.ly/r-is-hot
 Data analysis software
 A programming language
 Development platform designed by and for statisticians
 An environment
 Huge library of algorithms for data access, data
manipulation, analysis and graphics
 An open-source software project
 Free, open, and active
 A community
 Thousands of contributors, 2 million users
 Resources and help in every domain
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R is exploding in popularity and
Revolution Confidential
functionality
Scholarly Activity
Google Scholar hits (’05-’09 CAGR)
R 46% “I’ve been astonished by the rate at which
R has been adopted. Four years ago,
SAS -11%
everyone in my economics department [at
SPSS -27%
the University of Chicago] was using
Stata; now, as far as I can tell, R is the
S-Plus 0% standard tool, and students learn it first.”
Stata 10%
Deputy Editor for New Products at Forbes
Package Growth
Number of R packages listed on CRAN
“A key benefit of R is that it provides near-
2500 instant availability of new and
experimental methods created by its user
2000
base — without waiting for the
1500 development/release cycle of commercial
software. SAS recognizes the value of R
1000 to our customer base…”
500
0 Product Marketing Manager SAS Institute, Inc.
2002 2004 2006 2008 2010
Source: http://r4stats.com/popularity 6

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“R is the most powerful & flexible statistical
Revolution Confidential
programming language in the world” 1
 Capabilities
 Sophisticated
statistical analyses
 Predictive analytics
 Data visualization
 Applications
 Real-time trading MSFT [2009-01-02/2010-03-31]

Last 29.29
Finance 30
 Risk assessment 25
 Forecasting 20
 Bio-technology 250
200
Volume (millions):
63,760,000
15

150
Drug development 100
50
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Moving Average Convergence Divergence (12,26,9):

4
MACD: 0.702
Social networks 2
0
-2
Signal: 0.712

-4
.. and more -6
Jan 02 2009 Apr 01 2009 Jul 01 2009 Oct 01 2009 Jan 04 2010 Mar 31 2010
1. Norman Nie, multiple interviews 7

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From: The R Ecosystem
R User Community bit.ly/R-ecosystem
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Revolution Confidential
Poll Question
If you're not using R today, what
would you most like to use R for?

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Revolution R Enterprise is Revolution Confidential
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R Productivity Environment (Windows)
Revolution Confidential
Script with type
ahead and code Solutions window
snippets for organizing
code and data
Sophisticated
debugging with
breakpoints , variable Objects
values etc. loaded in the
R
Environment
Packages Object
installed and details
loaded
http://www.revolutionanalytics.com/demos/revolution-productivity-environment/demo.htm
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Interactive Debugging Revolution Confidential
 One-click to set a breakpoint in an R script
 Step in/out/over, inspect variables
 Eliminate the edit -> browser -> repair cycle
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Revolution Confidential
Performance: Multi-threaded Math
Open Revolution R
Source R Enterprise
Computation (4-core laptop) Open Source R Revolution R Speedup
Linear Algebra1
Matrix Multiply 327 sec 13.4 sec 23x
Cholesky Factorization 31.3 sec 1.8 sec 17x
Linear Discriminant Analysis 216 sec 74.6 sec 2x
General R Benchmarks2
R Benchmarks (Matrix Functions) 22 sec 3.5 sec 5x
R Benchmarks (Program Control) 5.6 sec 5.4 sec Not appreciable
1. http://www.revolutionanalytics.com/why-revolution-r/benchmarks.php
2. http://r.research.att.com/benchmarks/
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Three Paradigms for Big Data Revolution Confidential
 Standard R engine is constrained by
capacity and performance
 Revolution R Enterprise offers three
methods for big data with R:
 Off-line: high-performance file-based analytics
 Off-line, parallel & distributed analytics
 On-line, in-database analytics
 Hadoop
 Netezza
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Revolution R Enterprise with RevoScaleR
Revolution Confidential
Big Data Statistics in R
www.revolutionanalytics.com/bigdata
Every US airline
departure and arrival,
1987-2008
File: AirlineData87to08.xdf
Rows: 123.5 million
Variables: 29
Size on disk: 13.2Gb
arrDelayLm2 <- rxLinMod(ArrDelay ~ DayOfWeek:F(CRSDepTime),cube=TRUE)
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Example: Old Wives Census Analysis Revolution Confidential
http://info.revolutionanalytics.com/Cen
susOldWivesWhitePaper.html
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RevoScaleR – Distributed Computing Revolution Confidential
Compute • Portions of the data source are
Data Node made available to each compute
Partition (RevoScaleR) node
• RevoScaleR on the master node
Compute assigns a task to each compute
Data Node node
Partition (RevoScaleR)
Master • Each compute node independently
Node processes its data, and returns its
Compute (RevoScaleR) intermediate results back to the
Data Node master node
Partition (RevoScaleR)
• master node aggregates all of the
intermediate results from each
Compute compute node and produces the
Data Node final result
Partition (RevoScaleR)
*Available for Microsoft HPC Server, November 2011
Video demo: http://bit.ly/riUBgs
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Revolution Confidential
Revolution Analytics with Netezza Appliance
More info: http://bit.ly/R-Netezza
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RevoConnectR for Hadoop Revolution Confidential
Write Map-Reduce analytics using
HBASE only R code with these R
packages:
HDFS
 rhdfs - R and HDFS
R
Thrift  rhbase - R and HBASE
Map or
Reduce
 rmr- R and MapReduce
Task rhbase
rhdfs
Node
Revolution R More information at:
Job Client bit.ly/r-hadoop
Tracker rmr
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Enterprise Readiness:
Revolution Confidential
Revolution R Enterprise Server
 Multi-User Support
 Production Applications
 Integrate R analytics into Web based applications
 Data Analysis and Visualization
 Reporting
 Dashboards
 Interactive applications
 Revolution R Enterprise Server with RevoDeployR
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Deployment with Revolution R Enterprise Revolution Confidential
End User Desktop Business
Interactive Web
Applications Intelligence
Applications
(e.g. Excel) (e.g. Jaspersoft)
Application
Client libraries (JavaScript, Java, .NET)
Developer
HTTP/HTTPS – JSON/XML
R RevoDeployR Web Services
Programmer
Session Data/Script
Authentication Administration
Management Management
R
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Coming soon: Revolution R GUI Revolution Confidential
Accessible
Powerful
Extensible
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The Advanced Analytics Stack Revolution Confidential
Deployment / Consumption
Advanced Analytics
ETL
Data / Infrastructure
“Open Analytics Stack” White Paper: bit.ly/lC43Kw
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Revolution Confidential
 On-Call Technical Support
 Consulting
 Migration | Analytics | Applications | Validation
 Training
 R | Revolution R | Statistical Topics
 Systems Integration
 BI | ERP | Databases | Cloud
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Revolution Confidential
Wrapping Up

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Why R? Revolution Confidential
 Every data analysis technique at your fingertips
 Create beautiful and unique data visualizations
 Get better results faster
 Draw on the talents of data scientists worldwide
 R is hot, and growing fast
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Revolution R Enterprise Revolution Confidential
Production-Grade Statistical Analysis for the Workplace
 High-performance R for multiprocessor systems
 Modern Integrated Development Environment
 Statistical Analysis of Terabyte-Class Data Sets
 In-database R analytics with Hadoop and Netezza
 Deploy R Applications via Web Services
 Telephone and email technical support
 Training and consulting services
 100% compatible with R packages
 Easy-to-Use GUI1
1 Coming Soon 27

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Further Reading Revolution Confidential
http://bit.ly/revo-r-pdf http://bit.ly/r-is-hot
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Revolution Confidential
Revolution R Enterprise: Free to Academia
 Personal use
 Research
 Teaching
 Package development
Free Academic Download
www.revolutionanalytics.com/downloads/free-academic.php
Discounted Technical Support Subscriptions Available
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Thank You! Revolution Confidential
 Download slides, replay (from Oct 20)
 http://bit.ly/railcj
 Learn more about Revolution R
 revolutionanalytics.com/products
 Contact Revolution Analytics
 http://bit.ly/hey-revo
Special Offer: Revolution R Enterprise Workstation for $499
Including R Productivity Environment (IDE) with visual debugger, multi-processor
capabilities, Big Data analysis with RevoScaleR, and Technical Support
Available until November 15 at http://bit.ly/revo-499
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Revolution Confidential
Poll Question
What interests you most about
Revolution R Enterprise?

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Revolution Confidential
The leading commercial provider of software and support for the
popular open source R statistics language.
www.revolutionanalytics.com
+1 (650) 646 9545
Twitter: @RevolutionR
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