Revolution R Enterprise - 100% R and More Webinar Presentation


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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 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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  • 2M+ users, 3000+ packagesFully programmable statistical languageComplete library of statistical functionsUnparalleled representational graphicsSupplanted and replaced SAS/SPSS in the AcademyPenetrated enterprises where sophisticated statistical modeling is mission-criticalFinance, Pharma, etc.
  • Type ahead: the IDE recognizes an R function as you type in the first few characters and shows the completed formula and parametersCode snippets: Templates for common R functions e.g. for loop, xy plot. These are written in XML and users can add their ownSolution Window: The RPE organizes R scripts and data files in folders by Solution. This facilitates but does not implement versioningThe lists of packages of installed and the list of loaded packages are available for inspection. Clicking on these packages shows their components in the object windowThe top right Object Browser window shows all of the objects available in the R environmentThe bottom right object window shows the details of particular objectsDebugging Tools: when running in debugging mode the RPE supports breakpoints, stepping in and out of code and shows the contents of variables upon “mouse over”.Users may step through all code available in the Solution that is active.
  • Revolution R Enterprise - 100% R and More Webinar Presentation

    1. 1. Revolution ConfidentialRevolution R:100% R and MorePresented by:David SmithVP Marketing, Revolution Analytics
    2. 2. Revolution ConfidentialPoll Question Which stats package do you use most?
    3. 3. October 19, 2011: Welcome! Revolution Confidential Thanks for coming. Slides and replay available (soon) at:  David Smith VP Marketing, Revolution Analytics Editor, Revolutions blog Twitter: @revodavid 3
    4. 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. 5. Download the White PaperConfidentialWhat is R? R is Hot Revolution 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. 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: 6
    7. 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. 8. From: The R EcosystemR User Community 8
    9. 9. Revolution ConfidentialPoll Question If youre not using R today, what would you most like to use R for?
    10. 10. Revolution R Enterprise is Revolution Confidential 10
    11. 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 11
    12. 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. 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. 2. 13
    14. 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. 15. Revolution R Enterprise with RevoScaleR Revolution ConfidentialBig Data Statistics in R 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. 16. Example: Old Wives Census Analysis Revolution Confidential susOldWivesWhitePaper.html 16
    17. 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: 17
    18. 18. Revolution ConfidentialRevolution Analytics with Netezza Appliance More info: 18
    19. 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 Tracker rmr 19
    20. 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. 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. 22. Coming soon: Revolution R GUI Revolution Confidential Accessible Powerful Extensible 22
    23. 23. The Advanced Analytics Stack Revolution Confidential Deployment / Consumption Advanced Analytics ETL Data / Infrastructure “Open Analytics Stack” White Paper: 23
    24. 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. 25. Revolution ConfidentialWrapping Up
    26. 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. 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. 28. Further Reading Revolution Confidential 28
    29. 29. Revolution ConfidentialRevolution R Enterprise: Free to Academia  Personal use  Research  Teaching  Package development Free Academic Download Discounted Technical Support Subscriptions Available 29
    30. 30. Thank You! Revolution Confidential Download slides, replay (from Oct 20)  Learn more about Revolution R  Contact Revolution Analytics  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 30
    31. 31. Revolution ConfidentialPoll Question What interests you most about Revolution R Enterprise?
    32. 32. Revolution ConfidentialThe leading commercial provider of software and support for the popular open source R statistics language. +1 (650) 646 9545 Twitter: @RevolutionR 32
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