1. Revolution Confidential
R evolution R :
100% R and More
P res ented by:
David S mith @ revodavid
V P Marketing and C ommunity
R evolution A nalytic s

2. Revolution Confidential
P oll Ques tion
Which stats package do you use
most?

3. Marc h 13, 2013: Welc ome! Revolution Confidential
 Thanks for coming.
 Slides and replay available (soon) at:
 http://bit.ly/YbfQo1
David Smith
VP Marketing & Community, Revolution Analytics
Editor, Revolutions blog
http://blog.revolutionanalytics.com
Twitter: @revodavid
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4. In today’s webc as t: Revolution Confidential
 About Revolution Analytics and R
 How Revolution R Enterprise enhances R
 Resources for getting more from R
 Q&A
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5. Revolution Confidential
Revolution Analytics is the leading commercial
provider of software and support for the
open-source R statistical computing language
R evolution R E nterpris e is
 Enterprise-ready
 Multi-platform
 Scalable from desktop to big data
 Delivers high performance analytics
 Easier to build and deploy analytic applications
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6. What is R ? Download the White PaperConfidential
R is Hot
Revolution
bit.ly/r-is-hot
 Data analysis software
 A powerful programming language
 Development platform designed by and for statisticians
 A complete environment
 Huge library of algorithms for data access, data
manipulation, analysis and graphics
 An open-source software project
 Free, open, and active
 A vibrant community
 Thousands of contributors, 2 million users
 Resources and help in every domain
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7. R is exploding in popularity and
func tionality Revolution Confidential
“I’ve been astonished by the rate at which
R has been adopted. Four years ago,
everyone in my economics department [at
the University of Chicago] was using
Stata; now, as far as I can tell, R is the
standard tool, and students learn it first.”
Deputy Editor for New Products at Forbes
“A key benefit of R is that it provides near-
instant availability of new and
experimental methods created by its user
base — without waiting for the
development/release cycle of commercial
software. SAS recognizes the value of R
to our customer base…”
Product Marketing Manager SAS Institute, Inc
Source: http://r4stats.com/popularity; “Why R is a name to know in 2011”,
Forbes; number of packages is now 4,250 7

8. A Vibrant R Us er More: The R Ecosystem
C ommunity bit.ly/R-ecosystem
Revolution Confidential
Local R User
Groups (93)
Groups (102)
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9. R evolution A nalytic s
S c ales R to the E nterpris e Revolution Confidential
Revolution R Enterprise
Power
 Distributed high
Power performance analytics
Productivity
 Build & deploy analytics
applications easily
Productivity
Enterprise Enterprise Readiness
Readiness
 Enterprise landscape
 Full-service customer
support, consulting and
training
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10. R evolution R E nterpris e Revolution Confidential
High P erformanc e, Multi-P latform A nalytic s P latform
Revolution R Enterprise
DevelopR
DeployR Integrated Development
Web Services
Environment
ScaleR
High Performance Big Data Analytics
RevoR
Performance Enhanced Open Source R
Open Source R packages
PlatformR
Parallel Distributed Computing
IBM/Netezza, IBM/Platform LSF, MS HPC Server, MS Azure Burst
ConnectR
High Speed Connectors
HDFS, Hbase, ODBC, SAS
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11. R evolution R E nterpris e: Revolution Confidential
Performance Enhancements
Enterprise Performance
Deployment
Greater Productivity & Ease of Use
Open Source
Tackle “Big Data” Technical Productivity
Support
IT-Friendly Enterprise Deployment
Training Big
& Consulting Data Analysis
On-Call Experts
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12. Revolution Confidential
R evolution R E nterpris e
Productivity
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13. T he s tandard R interfac e Revolution Confidential
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14. DevelopR Integrated Development E nvironment
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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15. Revolution Confidential
R evolution R E nterpris e
Performance
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16. P erformanc e: Multi-threaded Math Revolution Confidential
Open Revolution R
Source R Enterprise
Computation (4-core laptop) Open Source R Revolution R Speedup
Linear Algebra1
Matrix Multiply 176 sec 9.3 sec 18x
Cholesky Factorization 25.5 sec 1.3 sec 19x
Linear Discriminant Analysis 189 sec 74 sec 3x
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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17. Revolution Confidential
R evolution R E nterpris e
Big Data Analysis with ScaleR
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18. R evoS c aleR brings the power of
B ig Data to R Revolution Confidential
Parallel External
Abstracted
Memory Algorithms
communications layer
exploit available Communications
Distributed provides portability of
compute resources Framework
Statistical code between
(cores & computers) Algorithms platforms: server,
independent of
cluster, or in-database
platform
Use the high-speed
local data mart R Language Familiar, high-
(XDF), or stream Interface productivity
Data Source
data from SAS, programming
API
ODBC, HDFS or other environment for R
remote data users
sources.
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19. S c aleR A ddres s es P erformanc e and
C apac ity L imitations of Open S ourc e R
Revolution Confidential
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20. High P erformanc e B ig Data A nalytic s with
S c aleR Revolution Confidential
R Data Step Descriptive Statistical Sampling
Statistics Tests
Predictive Data Machine Simulation
Models Visualization Learning
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21. R evolution R E nterpris e S c aleR : Revolution Confidential
High P erformanc e B ig Data A nalytic s
Data Prep, Distillation & Descriptive Analytics
R Data Step Descriptive Statistics Statistical Tests
 Data import – Delimited,  Min / Max  Chi Square Test
Fixed, SAS, SPSS, OBDC  Mean  Kendall Rank Correlation
 Variable creation &  Median (approx.)  Fisher’s Exact Test
transformation  Quantiles (approx.)  Student’s t-Test
 Recode variables  Standard Deviation
 Factor variables  Variance
 Missing value handling  Correlation Sampling
 Sort  Covariance
 Merge  Sum of Squares (cross product
 Split matrix for set variables)  Subsample (observations &
 Aggregate by category  Pairwise Cross tabs variables)
(means, sums)  Risk Ratio & Odds Ratio  Random Sampling
 Cross-Tabulation of Data
(standard tables & long form)
 Marginal Summaries of Cross
Tabulations
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22. R evolution R E nterpris e S c aleR : Revolution Confidential
High P erformanc e B ig Data A nalytic s
Statistical Modeling Machine Learning
Predictive Models Data Visualization Cluster Analysis
 Sum of Squares (cross product  Histogram  K-Means
matrix for set variables)  Line Plot
 Multiple Linear Regression  Scatter Plot
 Generalized Linear Models (GLM)  Lorenz Curve
- All exponential family  ROC Curves (actual data and Classification
distributions: binomial, Gaussian, predicted values)
inverse Gaussian, Poisson,
Tweedie. Standard link functions  Decision Trees
including: cauchit, identity, log,
logit, probit. User defined Simulation
distributions & link functions.
 Covariance & Correlation
Matrices
 Logistic Regression
 Classification & Regression Trees
 Predictions/scoring for models  Monte Carlo
 Residuals for all models
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23. Revolution Confidential
R evolution R E nterpris e
Enterprise Deployment
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24. C reate c us tom, on-demand analytic s applic ations
Revolution Confidential
S ome examples :
On-demand sales
forecasting
Real-time social
Leveraging the media sentiment
power of R from analysis
Microsoft tools
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25. R evolution R E nterpris e DeployR
integrates R with applic ations Revolution Confidential
Data Analysis
DeployR
R / Statistical Deployment
Modeling Expert Expert
Business Intelligence
Mobile Web Apps
 Seamless
Bring the power of R to any web enabled application
 Simple
Leverage common APIs including JS, Java, .NET
 Scalable
Robustly scale user and compute workloads
 Secure Cloud / SaaS
Manage enterprise security with LDAP & SSO
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26. R evolution R Revolution Confidential
E nterpris e
A rc hitec ture
Use a connected MPP
server or cluster for:
 Data exploration
 On-demand R
applications
 Big-data predictive
models
 Offline (batch)
operations
 Code generation for
real-time deployment

27. C onnec tR for Hadoop: S tream data from
Revolution Confidential
Hadoop to R evolution R E nterpris e

28. 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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29. Revolution Confidential
P oll Ques tion
What interests you most about
Revolution R Enterprise?

30. Why c us tomers c hoos e R evolution R
E nterpris e Revolution Confidential
INNOVATION MULTI-PLATFORM
TIME-to-VALUE VALUE
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31. T hank You! Revolution Confidential
 Download slides, replay
 http://bit.ly/YbfQo1
 Resources for getting started with R
 http://bit.ly/ZnZGt2
 Get Revolution R Enterprise
 Contact Sales: http://bit.ly/hey-revo
 Free to Academics:
www.revolutionanalytics.com/academic
 We’re Hiring!
 www.revolutionanalytics.com/careers
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32. T hank you. Revolution Confidential
The leading commercial provider of software and support for the popular
open source R statistics language.
www.revolutionanalytics.com 650.646.9545 Twitter: @RevolutionR
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