Revolution R Enterprise: 100% R and More (14 Mar 2013)

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


P oll Ques tion

Which stats package do you use most?

Revolution Confidential Marc h 13, 2013: Welc ome!

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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http://bit.ly/YbfQo1�

http://blog.revolutionanalytics.com/�

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Revolution Confidential In today’s webc as t:

About Revolution Analytics and R How Revolution R Enterprise enhances R

Resources for getting more from R

Q&A

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Enterprise-ready Multi-platform Scalable from desktop to big data Delivers high performance analytics Easier to build and deploy analytic applications

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

Revolution Confidential What is R ?

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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Download the White Paper

R is Hot bit.ly/r-is-hot

http://info.revolutionanalytics.com/R-is-Hot-Whitepaper.html�


R is exploding in popularity and func tionality

Source: http://r4stats.com/popularity; “Why R is a name to know in 2011”, Forbes; number of packages is now 4,250 7

“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

“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

http://r4stats.com/popularity�


A Vibrant R Us er C ommunity

More: The R Ecosystem

bit.ly/R-ecosystem

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Local R User Groups (93) Local R User Groups (102)

http://bit.ly/R-ecosystem�


R evolution A nalytic s S cales R to the E nterpris e

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Power

Productivity

Power Distributed high

performance analytics

Productivity Build & deploy analytics

applications easily

Enterprise Readiness Enterprise landscape Full-service customer

support, consulting and training

Enterprise Readiness

Revolution R Enterprise


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ScaleR High Performance Big Data Analytics

RevoR Performance Enhanced Open Source R

Open Source R packages

ConnectR High Speed Connectors HDFS, Hbase, ODBC, SAS

PlatformR Parallel Distributed Computing

IBM/Netezza, IBM/Platform LSF, MS HPC Server, MS Azure Burst

DevelopR Integrated Development

Environment

DeployR Web Services

R evolution R E nterpris e High P erformanc e, Multi-P latform A nalytic s P latform


Enterprise Deployment

Performance

Productivity

Big Data Analysis

Training & Consulting

Technical Support

R evolution R E nterpris e:

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Open Source

Performance Enhancements

Greater Productivity & Ease of Use

Tackle “Big Data”

IT-Friendly Enterprise Deployment

On-Call Experts


R evolution R E nterpris e

Productivity

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Revolution Confidential T he s tandard R interfac e

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Revolution Confidential DevelopR Integrated Development E nvironment

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Script with type ahead and code

snippets Solutions window

for organizing code and data

Packages installed and

loaded

Objects loaded in the

R Environment

Object details

Sophisticated debugging with

breakpoints , variable values etc.

http://www.revolutionanalytics.com/demos/revolution-productivity-environment/demo.htm

http://www.revolutionanalytics.com/demos/revolution-productivity-environment/demo.htm�








Performance

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Revolution Confidential P erformance: Multi-threaded Math

Open Source R

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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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Big Data Analysis with ScaleR

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R evoS caleR brings the power of B ig Data to R

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Distributed Statistical Algorithms

Communications Framework

Data Source API

R Language Interface

Parallel External Memory Algorithms exploit available compute resources (cores & computers) independent of platform

Abstracted communications layer provides portability of

code between platforms: server,

cluster, or in-database

Use the high-speed local data mart (XDF), or stream data from SAS, ODBC, HDFS or other remote data sources.

Familiar, high-productivity

programming environment for R

users


S c aleR A ddres s es P erformance and C apacity L imitations of Open S ource R

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High P erformance B ig Data A nalytics with S c aleR

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Statistical Tests

Machine Learning

Simulation

Descriptive Statistics

Data Visualization

R Data Step

Predictive Models

Sampling

Revolution Confidential R evolution R E nterpris e S c aleR : High P erformance B ig Data A nalytics

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Data import – Delimited, Fixed, SAS, SPSS, OBDC

Variable creation & transformation

Recode variables Factor variables Missing value handling Sort Merge Split Aggregate by category

(means, sums)

Min / Max Mean Median (approx.) Quantiles (approx.) Standard Deviation Variance Correlation Covariance Sum of Squares (cross product

matrix for set variables) Pairwise Cross tabs Risk Ratio & Odds Ratio Cross-Tabulation of Data

(standard tables & long form) Marginal Summaries of Cross

Tabulations

Chi Square Test Kendall Rank Correlation Fisher’s Exact Test Student’s t-Test

Data Prep, Distillation & Descriptive Analytics

Subsample (observations & variables)

Random Sampling

R Data Step Statistical Tests

Sampling

Descriptive Statistics

Revolution Confidential R evolution R E nterpris e S c aleR : High P erformance B ig Data A nalytics

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Sum of Squares (cross product matrix for set variables)

Multiple Linear Regression Generalized Linear Models (GLM)

- All exponential family distributions: binomial, Gaussian, inverse Gaussian, Poisson, Tweedie. Standard link functions including: cauchit, identity, log, logit, probit. User defined distributions & link functions.

Covariance & Correlation Matrices

Logistic Regression Classification & Regression Trees Predictions/scoring for models Residuals for all models

Histogram Line Plot Scatter Plot Lorenz Curve ROC Curves (actual data and

predicted values)

K-Means

Statistical Modeling

Decision Trees

Predictive Models Cluster Analysis Data Visualization

Classification

Machine Learning

Simulation

Monte Carlo



Enterprise Deployment

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On-demand sales forecasting

Real-time social media sentiment

analysis

C reate c us tom, on-demand analytic s applic ations S ome examples :

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Leveraging the power of R from Microsoft tools

http://deployr.revolutionanalytics.com:4000/�


R evolution R E nterpris e DeployR integrates R with applications

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 Manage enterprise security with LDAP & SSO

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R / Statistical Modeling Expert

DeployR

Data Analysis

Business Intelligence

Mobile Web Apps

Cloud / SaaS

Deployment Expert

Revolution Confidential R evolution R 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

Revolution Confidential C onnectR for Hadoop: S tream data from Hadoop to R evolution R E nterpris e


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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P oll Ques tion

What interests you most about Revolution R Enterprise?


Why cus tomers choos e R evolution R E nterpris e

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INNOVATION MULTI-PLATFORM

TIME-to-VALUE VALUE

Revolution Confidential T hank You! 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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http://bit.ly/ZnZGt2�

http://bit.ly/ZnZGt2�

http://bit.ly/hey-revo�



http://www.revolutionanalytics.com/academic�

http://www.revolutionanalytics.com/careers�

Revolution Confidential T hank you.

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www.revolutionanalytics.com 650.646.9545 Twitter: @RevolutionR

The leading commercial provider of software and support for the popular open source R statistics language.

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Revolution R Enterprise: 100% R and More (14 Mar 2013)