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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 …

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.

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- 1. Revolution ConfidentialRevolution R:100% R and MorePresented by:David SmithVP Marketing, Revolution Analytics
- 2. Revolution ConfidentialPoll Question Which stats package do you use most?
- 3. 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 3
- 4. 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
- 5. Download the White PaperConfidentialWhat 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 5
- 6. R is exploding in popularity and Revolution ConfidentialfunctionalityScholarly 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 ForbesPackage 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
- 7. “R is the most powerful & flexible statistical Revolution Confidentialprogramming 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 6 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
- 8. From: The R EcosystemR User Community bit.ly/R-ecosystem 8
- 9. Revolution ConfidentialPoll Question If youre not using R today, what would you most like to use R for?
- 10. Revolution R Enterprise is Revolution Confidential 10
- 11. R Productivity Environment (Windows) Revolution Confidential Script with type ahead and code Solutions window snippets for organizing code and data Sophisticated debugging withbreakpoints , 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 11
- 12. 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 12
- 13. Revolution ConfidentialPerformance: 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/ 13
- 14. 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 14
- 15. Revolution R Enterprise with RevoScaleR Revolution ConfidentialBig Data Statistics in R www.revolutionanalytics.com/bigdataEvery US airlinedeparture and arrival,1987-2008File: AirlineData87to08.xdfRows: 123.5 millionVariables: 29Size on disk: 13.2Gb arrDelayLm2 <- rxLinMod(ArrDelay ~ DayOfWeek:F(CRSDepTime),cube=TRUE) 15
- 16. Example: Old Wives Census Analysis Revolution Confidential http://info.revolutionanalytics.com/Cen susOldWivesWhitePaper.html 16
- 17. 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 17
- 18. Revolution ConfidentialRevolution Analytics with Netezza Appliance More info: http://bit.ly/R-Netezza 18
- 19. 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 19
- 20. Enterprise Readiness: Revolution ConfidentialRevolution 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 20
- 21. Deployment with Revolution R Enterprise Revolution ConfidentialEnd User Desktop Business Interactive Web Applications Intelligence Applications (e.g. Excel) (e.g. Jaspersoft)Application Client libraries (JavaScript, Java, .NET)Developer HTTP/HTTPS – JSON/XMLR RevoDeployR Web ServicesProgrammer Session Data/Script Authentication Administration Management Management R 21
- 22. Coming soon: Revolution R GUI Revolution Confidential Accessible Powerful Extensible 22
- 23. The Advanced Analytics Stack Revolution Confidential Deployment / Consumption Advanced Analytics ETL Data / Infrastructure “Open Analytics Stack” White Paper: bit.ly/lC43Kw 23
- 24. Revolution Confidential On-Call Technical Support Consulting  Migration | Analytics | Applications | Validation Training  R | Revolution R | Statistical Topics Systems Integration  BI | ERP | Databases | Cloud 24
- 25. Revolution ConfidentialWrapping Up
- 26. 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 26
- 27. Revolution R Enterprise Revolution ConfidentialProduction-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
- 28. Further Reading Revolution Confidential http://bit.ly/revo-r-pdf http://bit.ly/r-is-hot 28
- 29. Revolution ConfidentialRevolution 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 29
- 30. 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 30
- 31. Revolution ConfidentialPoll Question What interests you most about Revolution R Enterprise?
- 32. Revolution ConfidentialThe leading commercial provider of software and support for the popular open source R statistics language. www.revolutionanalytics.com +1 (650) 646 9545 Twitter: @RevolutionR 32

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