revolution r enterprise - 100% r and more webinar presentation
DESCRIPTION
R users already know why the R language is the lingua franca of statisticians today: because it's the most powerful statistical language in the world. Revolution Analytics builds on the power of open source R, and adds performance, productivity and integration features to create Revolution R Enterprise. In this presentation, author and blogger David Smith will introduce the additional capabilities of Revolution R Enterprise.TRANSCRIPT
Revolution Confidential
Revolution R: 100% R and More
Presented by:David SmithVP Marketing, Revolution
Analytics
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Poll Question
Which stats package do you use most?
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October 19, 2011: Welcome!
Thanks for coming. Slides and replay available (soon) at:
http://bit.ly/p6ulsu
David SmithVP Marketing, Revolution AnalyticsEditor, Revolutions blog
http://blog.revolutionanalytics.comTwitter: @revodavid
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In today’s webcast:
About Revolution Analytics and R
What Revolution R adds to R
Resources for getting more from R
Q&A
Introducing Revolution R
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What is R?
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
Download the White Paper
R is Hotbit.ly/r-is-hot
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Source: http://r4stats.com/popularity 6
R is exploding in popularity and functionality
Stata 10%
S-Plus 0%
SPSS -27%
SAS -11%
R 46%
Scholarly ActivityGoogle Scholar hits (’05-’09 CAGR)
0
500
1000
1500
2000
2500
20102008200620042002
Package GrowthNumber of R packages listed on CRAN
“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
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“R is the most powerful & flexible statistical programming language in the world”1
Capabilities Sophisticated
statistical analyses Predictive analytics Data visualization
Applications Real-time trading Finance Risk assessment Forecasting Bio-technology Drug development Social networks .. and more
1. Norman Nie, multiple interviews
15
20
25
30
MSFT [2009-01-02/2010-03-31]
Last 29.29
Volume (millions):63,760,000
50
100
150
200
250
Moving Average Convergence Divergence (12,26,9):MACD: 0.702Signal: 0.712
-6
-4
-2
0
2
4
6
Jan 02 2009 Apr 01 2009 Jul 01 2009 Oct 01 2009 Jan 04 2010 Mar 31 2010
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R User CommunityFrom: The R Ecosystem
bit.ly/R-ecosystem
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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
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R Productivity Environment (Windows)Script with type ahead and code
snippetsSolutions 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
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Interactive Debugging
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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Performance: Multi-threaded Math
Open
Source R
Revolution 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.php2. http://r.research.att.com/benchmarks/
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Three Paradigms for Big Data
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 RevoScaleRBig Data Statistics in R
www.revolutionanalytics.com/bigdata
Every US airline departure and arrival, 1987-2008
File: AirlineData87to08.xdfRows: 123.5 millionVariables: 29Size on disk: 13.2Gb
arrDelayLm2 <- rxLinMod(ArrDelay ~ DayOfWeek:F(CRSDepTime),cube=TRUE)
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Example: Old Wives Census Analysis
http://info.revolutionanalytics.com/CensusOldWivesWhitePaper.html
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Compute Node
(RevoScaleR)
Compute Node
(RevoScaleR) Master Node
(RevoScaleR)
DataPartition
DataPartition
Compute Node
(RevoScaleR)
Compute Node
(RevoScaleR)
DataPartition
DataPartition
• Portions of the data source are made available to each compute node
• RevoScaleR on the master node assigns a task to each compute node
• Each compute node independently processes its data, and returns its intermediate results back to the master node
• master node aggregates all of the intermediate results from each compute node and produces the final result
RevoScaleR – Distributed Computing
*Available for Microsoft HPC Server, November 2011Video demo: http://bit.ly/riUBgs
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Revolution Analytics with Netezza Appliance
More info: http://bit.ly/R-Netezza
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RevoConnectR for Hadoop
Revolution R Client
R
Map or Reduce
Job Tracker
Task Node
HDFS
HBASE
Thrift
rhdfs - R and HDFS
rhbase - R and HBASE
rmr - R and MapReduce
Write Map-Reduce analytics using only R code with these R packages:
rmr
rhdfs rhbase
More information at:bit.ly/r-hadoop
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Enterprise Readiness: 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
RevoDeployR Web Services
Client libraries (JavaScript, Java, .NET)
Desktop Applications (e.g. Excel)
Business Intelligence
(e.g. Jaspersoft)
Interactive Web Applications
HTTP/HTTPS – JSON/XML
Session Management
AuthenticationData/Script
ManagementAdministration
R
R Programmer
ApplicationDeveloper
End User
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Coming soon: Revolution R GUI Accessible
Powerful
Extensible
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The Advanced Analytics Stack
Deployment / Consumption
Advanced Analytics
ETL
Data / Infrastructure
“Open Analytics Stack” White Paper: bit.ly/lC43Kw
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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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Wrapping Up
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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
High-performance R for multiprocessor systemsModern Integrated Development EnvironmentStatistical Analysis of Terabyte-Class Data Sets In-database R analytics with Hadoop and NetezzaDeploy R Applications via Web ServicesTelephone and email technical supportTraining and consulting services100% compatible with R packagesEasy-to-Use GUI1
Production-Grade Statistical Analysis for the Workplace
1 Coming Soon
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Further Reading
http://bit.ly/revo-r-pdf http://bit.ly/r-is-hot
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Revolution R Enterprise: Free to Academia
Personal use Research Teaching Package development
Free Academic Downloadwww.revolutionanalytics.com/downloads/free-academic.php
Discounted Technical Support Subscriptions Available
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Thank You!
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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Poll Question
What interests you most about Revolution R Enterprise?
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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