R evolution R E nterpris eR eleas e 6.2New FeaturesDavid M. S mithThomas W. Dins moreMay 1, 20131
Poll Ques tionWhich stats package do you usemost?
In today’s webcas t:About Revolution R EnterpriseNew Features in Revolution R Enterprise 6.2Resources for getting more fro...
Revolution Analytics is the leading commercial provider ofsoftware and support for theopen-source R statistical computing ...
What is R ?Data analysis softwareA powerful programming languageDevelopment platform designed by and for statisticiansA co...
R evolution Analytics S cales Rto the E nterpris e6Power Distributed high performanceanalyticsProductivity Build & deplo...
R evolution R E nterpris eHigh Performance, Multi-Platform Analytics Platform7Revolution R EnterpriseScaleRHigh Performanc...
S caleR brings the power ofB ig Data to R8Parallel ExternalMemory Algorithmsexploit availablecompute resources(cores & com...
S caleR Addres s es Performance and CapacityLimitations of Open S ource R9
DeployRintegrates Rwithapplications SeamlessBring the power of R to any web enabled application SimpleLeverage common AP...
R evolution RE nterpris eArchitectureUse a connected MPP serveror cluster for:Data explorationOn-demand R applicationsBig-...
R R E 6.2 New FeaturesOpen Source R 2.15.3High Speed Teradata ConnectorNew AnalyticsImproved PerformanceEnhanced DeployR A...
S upport for Open S ource R 2.15.389 new features11 performance enhancements139 bug fixes137 package dependencies3
High-S peed Teradata Connector050,000100,000150,000200,000250,000300,0001MM 10MM 100MMRowsPerSecondData Transfer SpeedODBC...
New Analytics : (1) S tepwis e R egres s ionAutomates the model fitting processUses statistical criteria to select feature...
New Analytics (2): PR NGParallel Random Number GeneratorR interface to MKL PRNGsNeeded for “Forests”Useful in simulation, ...
Other Analytic E nhancementsImproved control over model-fittingInteraction termsLinear models, GLM, logitOutput to XDF:“By...
Performance E nhancementsFixed format text input:Previously used Stat/TransferWith RRE 6.2:~2x faster on Windows~1.3x fast...
Performance E nhancements : S ort02,0004,0006,0008,00010,00012,00014,00016,000Test A Test BRowsPerSecondSort SpeedRRE 6.1R...
DeployR E nhancementsPriority scheduling for asynchronous jobsExecute external scriptsGITSVNRepository-managed files and s...
R evolution R E nterpris e 6.2Updated R distributionEnhanced Teradata integrationMore analytic capabilitiesFaster import, ...
Poll Ques tionWhat interests you most aboutRevolution R Enterprise?
Thank You!Download slides, replayhttp://bit.ly/RRE62-webinarResources for getting started with Rhttp://bit.ly/ZnZGt2Get Re...
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25www.revolutionanalytics.com +1 650 646 9545 Twitter: @RevolutionRThe leading commercial provider of software and support...
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What's New in Revolution R Enterprise 6.2

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What's New in Revolution R Enterprise 6.2

  1. 1. R evolution R E nterpris eR eleas e 6.2New FeaturesDavid M. S mithThomas W. Dins moreMay 1, 20131
  2. 2. Poll Ques tionWhich stats package do you usemost?
  3. 3. In today’s webcas t:About Revolution R EnterpriseNew Features in Revolution R Enterprise 6.2Resources for getting more from RQ&A3
  4. 4. Revolution Analytics is the leading commercial provider ofsoftware and support for theopen-source R statistical computing language4R evolution R E nterpris e is Enterprise-ready Multi-platform Scalable from desktop to big data Delivers high performance analytics Easier to build and deploy analytic applications
  5. 5. What is R ?Data analysis softwareA powerful programming languageDevelopment platform designed by and for statisticiansA complete environmentHuge library of algorithms for data access, data manipulation, analysisand graphicsAn open-source software projectFree, open, and activeA vibrant communityThousands of contributors, 2 million usersResources and help in every domain5Download the White PaperR is Hotbit.ly/r-is-hot
  6. 6. R evolution Analytics S cales Rto the E nterpris e6Power Distributed high performanceanalyticsProductivity Build & deploy analyticsapplications easilyEnterprise Readiness Enterprise landscape Full-service customersupport, consulting andtrainingPowerProductivityEnterpriseReadinessRevolution R Enterprise
  7. 7. R evolution R E nterpris eHigh Performance, Multi-Platform Analytics Platform7Revolution R EnterpriseScaleRHigh Performance Big Data AnalyticsRevoRPerformance Enhanced Open Source ROpen Source R packagesConnectRHigh Speed ConnectorsHDFS, Hbase, ODBC, SASPlatformRParallel Distributed ComputingIBM/Netezza, IBM/Platform LSF, MS HPC Server, MS Azure BurstDevelopRIntegrated Development EnvironmentDeployRWeb Services
  8. 8. S caleR brings the power ofB ig Data to R8Parallel ExternalMemory Algorithmsexploit availablecompute resources(cores & computers)independent ofplatformAbstractedcommunications layerprovides portability ofcode between platforms:server, cluster, or in-databaseUse the high-speedlocal data mart (XDF), orstream data from SAS,ODBC, HDFS or otherremote data sources.Familiar, high-productivityprogrammingenvironment for R usersDistributedStatisticalAlgorithmsCommunicationsFrameworkData SourceAPIR LanguageInterface
  9. 9. S caleR Addres s es Performance and CapacityLimitations of Open S ource R9
  10. 10. DeployRintegrates Rwithapplications SeamlessBring the power of R to any web enabled application SimpleLeverage common APIs including JS, Java, .NET ScalableRobustly scale user and compute workloads SecureManage enterprise security with LDAP & SSOR / StatisticalModeling ExpertDeployRBusiness IntelligenceMobile Web AppsCloud / SaaSDeploymentExpert
  11. 11. R evolution RE nterpris eArchitectureUse a connected MPP serveror cluster for:Data explorationOn-demand R applicationsBig-data predictive modelsOffline (batch) operationsCode generation for real-time deployment
  12. 12. R R E 6.2 New FeaturesOpen Source R 2.15.3High Speed Teradata ConnectorNew AnalyticsImproved PerformanceEnhanced DeployR API2
  13. 13. S upport for Open S ource R 2.15.389 new features11 performance enhancements139 bug fixes137 package dependencies3
  14. 14. High-S peed Teradata Connector050,000100,000150,000200,000250,000300,0001MM 10MM 100MMRowsPerSecondData Transfer SpeedODBCTPTSource: Teradata Center of ExcellenceSix times faster
  15. 15. New Analytics : (1) S tepwis e R egres s ionAutomates the model fitting processUses statistical criteria to select featuresMultiple options:Methods: Forwards, backwards, bidirectionalCriteria: AIC, BIC, Mallows’ CpLinear models (working on Logistic, GLM)5
  16. 16. New Analytics (2): PR NGParallel Random Number GeneratorR interface to MKL PRNGsNeeded for “Forests”Useful in simulation, Monte Carlo analysis6
  17. 17. Other Analytic E nhancementsImproved control over model-fittingInteraction termsLinear models, GLM, logitOutput to XDF:“By-Group” summary statsCube results7
  18. 18. Performance E nhancementsFixed format text input:Previously used Stat/TransferWith RRE 6.2:~2x faster on Windows~1.3x faster on LinuxSort and merge8
  19. 19. Performance E nhancements : S ort02,0004,0006,0008,00010,00012,00014,00016,000Test A Test BRowsPerSecondSort SpeedRRE 6.1RRE 6.2Ten times fasterNine times faster15MM rows100 columns7.5MM rows200 columnsSort on five keys
  20. 20. DeployR E nhancementsPriority scheduling for asynchronous jobsExecute external scriptsGITSVNRepository-managed files and scriptsLifecycle managementEnhanced versioningUpdated java, javascript, .net client libraries10
  21. 21. R evolution R E nterpris e 6.2Updated R distributionEnhanced Teradata integrationMore analytic capabilitiesFaster import, sort and mergeImproved enterprise deployability11
  22. 22. Poll Ques tionWhat interests you most aboutRevolution R Enterprise?
  23. 23. Thank You!Download slides, replayhttp://bit.ly/RRE62-webinarResources for getting started with Rhttp://bit.ly/ZnZGt2Get Revolution R EnterpriseContact Sales: http://bit.ly/hey-revoFree to Academics: www.revolutionanalytics.com/academicWe’re Hiring!www.revolutionanalytics.com/careers24
  24. 24. 12
  25. 25. 25www.revolutionanalytics.com +1 650 646 9545 Twitter: @RevolutionRThe leading commercial provider of software and support for the popularopen source R statistics language.Thank you
  26. 26. 13
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