Revolution R: 100% R and more
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Revolution R is a commercial software that extends the open source R programming language. It provides an integrated development environment, performance improvements through parallel processing, and tools for deploying R applications and analyzing big data on Hadoop and Netezza databases. Revolution R aims to make R easier to use for data analysis, and enable its use in enterprise settings through support, training, and scalability features not available in the base R distribution.
![7Source: http://r4stats.com/popularity5R is exploding in popularity and functionalityScholarly ActivityGoogle Scholar hits (’05-’09 CAGR)“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.” R46%SAS-11%SPSS-27%S-Plus0%Stata10%Deputy Editor for New Products at ForbesPackage 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.20102008200620042002](https://image.slidesharecdn.com/revolutionr100andmore-30mins-110826151607-phpapp02/85/Revolution-R-100-R-and-more-5-320.jpg)
Revolution R: 100% R and more
- 1. Revolution R:100% R and MorePresented by:David SmithVP Marketing, Revolution Analytics
- 2. August 24, 2011: Welcome!Thanks for coming.Slides and replay available (soon) at:http://bit.ly/railcjDavid SmithVP Marketing, Revolution AnalyticsEditor, Revolutions blog http://blog.revolutionanalytics.comTwitter: @revodavid2
- 3. In today’s webcast:About Revolution Analytics and RWhat Revolution R adds to RResources for getting more from RQ&A3Introducing Revolution R
- 4. What is R?Data analysis softwareA programming languageDevelopment platform designed by and for statisticiansAn environmentHuge library of algorithms for data access, data manipulation, analysis and graphicsAn open-source software projectFree, open, and activeA communityThousands of contributors, 2 million usersResources and help in every domain4Download the White PaperR is Hot
- 5. 7Source: http://r4stats.com/popularity5R is exploding in popularity and functionalityScholarly ActivityGoogle Scholar hits (’05-’09 CAGR)“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.” R46%SAS-11%SPSS-27%S-Plus0%Stata10%Deputy Editor for New Products at ForbesPackage 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.20102008200620042002
- 6. 3000+ R Packages from the Open Source community6Time Series analysisPortfolio OptimizationEconometricsGenomicsClinical TrialsBayesian InferenceSurvival analysisSocial NetworksData VisualizationData APIs (Twitter).. and more
- 7. R User CommunityFrom: The R Ecosystembit.ly/R-ecosystem7
- 8. Revolution R Enterprise is 8
- 9. R Productivity Environment (Windows)9Script with type ahead and code snippetsSolutions window for organizing code and dataSophisticated debugging with breakpoints , variable values etc.Objects loaded in the R EnvironmentPackages installed and loadedObject detailshttp://www.revolutionanalytics.com/demos/revolution-productivity-environment/demo.htm
- 10. Interactive DebuggingOne-click to set a breakpoint in an R scriptStep in/out/over, inspect variablesEliminate the edit -> browser -> repair cycle10
- 11. Coming soon: Revolution R GUI 11AccessiblePowerfulExtensible
- 12. Performance: Multi-threaded Math12OpenSource RRevolution R Enterprise 1. http://www.revolutionanalytics.com/why-revolution-r/benchmarks.php2. http://r.research.att.com/benchmarks/
- 13. Three Paradigms for Big DataStandard R engine is constrained by capacity and performanceRevolution R Enterprise offers three methods for big data with R:Off-line: parallel out-of-memory analyticsOff-line, distributed analyticsOn-line, in-database analyticsHadoopNetezza13
- 14. Revolution R Enterprise with RevoScaleRBig Data Statistics in R14www.revolutionanalytics.com/bigdataEvery US airline departure and arrival, 1987-2008 File: AirlineData87to08.xdfRows: 123.5 millionVariables: 29Size on disk: 13.2GbarrDelayLm2 <- rxLinMod(ArrDelay ~ DayOfWeek:F(CRSDepTime),cube=TRUE)
- 15. Example: Old Wives Census Analysis15http://info.revolutionanalytics.com/CensusOldWivesWhitePaper.html
- 16. RevoScaleR – Distributed ComputingCompute Node(RevoScaleR)DataPartitionPortions of the data source are made available to each compute node
- 17. RevoScaleR on the master node assigns a task to each compute node
- 18. Each compute node independently processes its data, and returns its intermediate results back to the master node
- 19. master node aggregates all of the intermediate results from each compute node and produces the final resultCompute Node(RevoScaleR)DataPartitionMaster Node(RevoScaleR)Compute Node(RevoScaleR)DataPartitionCompute Node(RevoScaleR)DataPartition16*Available for Microsoft HPC Server, November 2011Video demo: http://bit.ly/riUBgs
- 20. Revolution Analytics with Netezza Appliance17More info: http://bit.ly/R-Netezza
- 21. Revolution Analytics with HadoopHDFSConnectors to HDFS and HBASE for interacting with data stores directly in R
- 22. Hadoop Streaming package for executing MapReduce jobs from R.RMap or ReduceTask TrackerTask NodeR ClientJob Tracker18
- 23. Enterprise Readiness: Revolution R Enterprise ServerMulti-User SupportProduction ApplicationsIntegrate R analytics into Web based applicationsData Analysis and VisualizationReportingDashboardsInteractive applicationsRevolution R Enterprise Server with RevoDeployR19
- 24. 20Deployment with Revolution R EnterpriseDesktop Applications (i.e. Excel)Business Intelligence(i.e. Jaspersoft)Interactive Web ApplicationsEnd UserClient libraries (JavaScript, Java, .NET)ApplicationDeveloperHTTP/HTTPS – JSON/XMLRevoDeployR Web ServicesR ProgrammerSession ManagementAuthenticationData/ScriptManagementAdministrationR
- 25. The Advanced Analytics StackDeployment / ConsumptionAdvanced AnalyticsETLData / Infrastructure“Open Analytics Stack” White Paper: bit.ly/lC43Kw21
- 26. On-Call Technical SupportConsultingMigration | Analytics | Applications | ValidationTrainingR | Revolution R | Statistical Topics Systems IntegrationBI | ERP | Databases | Cloud22
- 27. Wrapping Up
- 28. Why R?24Every data analysis technique at your fingertipsCreate beautiful and unique data visualizationsGet better results fasterDraw on the talents of data scientists worldwideR is hot, and growing fast
- 29. Revolution R Enterprise25Production-Grade Statistical Analysis for the WorkplaceHigh-performance R for multiprocessor systems
- 30. Modern Integrated Development Environment
- 31. Statistical Analysis of Terabyte-Class Data Sets
- 32. In-database R analytics with Hadoop1 and Netezza
- 33. Deploy R Applications via Web Services
- 34. Telephone and email technical support
- 35. Training and consulting services
- 36. 100% compatible with R packages
- 37. Easy-to-Use GUI11 Coming Soon
- 39. Revolution R Enterprise: Free to AcademiaPersonal useResearchTeachingPackage development27Free Academic Downloadwww.revolutionanalytics.com/downloads/free-academic.phpDiscounted Technical Support Subscriptions Available
- 40. Thank You!Download slides, replay (from Aug 24)http://bit.ly/railcjLearn more about Revolution Rrevolutionanalytics.com/productsKeep up to date with R and Revolution newsrevolutionanalytics.com/newsletterContact Revolution Analyticshttp://bit.ly/hey-revo28
- 41. 29The leading commercial provider of software and support for the popular open source R statistics language.www.revolutionanalytics.com+1 (650) 330 0553Twitter: @RevolutionR
Editor's Notes
- #10: 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.