Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy.

Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our Privacy Policy and User Agreement for details.

3,571 views

Published on

No Downloads

Total views

3,571

On SlideShare

0

From Embeds

0

Number of Embeds

2,438

Shares

0

Downloads

62

Comments

0

Likes

1

No embeds

No notes for slide

- 1. Revolution ConfidentialR evolution R :100% R and MoreP res ented by:David S mith @ revodavidV P Marketing and C ommunityR evolution A nalytic s
- 2. Revolution ConfidentialP oll Ques tion Which stats package do you use most?
- 3. Marc h 13, 2013: Welc ome! Revolution Confidential Thanks for coming. Slides and replay available (soon) at: http://bit.ly/YbfQo1 David Smith VP Marketing & Community, Revolution Analytics Editor, Revolutions blog http://blog.revolutionanalytics.com Twitter: @revodavid 3
- 4. In today’s webc as t: Revolution Confidential About Revolution Analytics and R How Revolution R Enterprise enhances R Resources for getting more from R Q&A 4
- 5. Revolution Confidential Revolution Analytics is the leading commercial provider of software and support for the open-source R statistical computing languageR 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
- 6. What is R ? Download the White PaperConfidential R is Hot Revolution bit.ly/r-is-hot Data analysis software A powerful programming language Development platform designed by and for statisticians A complete environment Huge library of algorithms for data access, data manipulation, analysis and graphics An open-source software project Free, open, and active A vibrant community Thousands of contributors, 2 million users Resources and help in every domain 6
- 7. R is exploding in popularity andfunc tionality Revolution Confidential “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 “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 Source: http://r4stats.com/popularity; “Why R is a name to know in 2011”, Forbes; number of packages is now 4,250 7
- 8. A Vibrant R Us er More: The R EcosystemC ommunity bit.ly/R-ecosystem Revolution Confidential Local R User Groups (93) Groups (102) 8
- 9. R evolution A nalytic sS c ales R to the E nterpris e Revolution Confidential Revolution R Enterprise Power Distributed high Power performance analytics Productivity Build & deploy analytics applications easily Productivity Enterprise Enterprise Readiness Readiness Enterprise landscape Full-service customer support, consulting and training 9
- 10. R evolution R E nterpris e Revolution ConfidentialHigh P erformanc e, Multi-P latform A nalytic s P latform Revolution R Enterprise DevelopR DeployR Integrated Development Web Services Environment ScaleR High Performance Big Data Analytics RevoR Performance Enhanced Open Source R Open Source R packages PlatformR Parallel Distributed Computing IBM/Netezza, IBM/Platform LSF, MS HPC Server, MS Azure Burst ConnectR High Speed Connectors HDFS, Hbase, ODBC, SAS 10
- 11. R evolution R E nterpris e: Revolution ConfidentialPerformance Enhancements Enterprise Performance DeploymentGreater Productivity & Ease of Use Open SourceTackle “Big Data” Technical Productivity SupportIT-Friendly Enterprise Deployment Training Big & Consulting Data AnalysisOn-Call Experts 11
- 12. Revolution ConfidentialR evolution R E nterpris e Productivity 12
- 13. T he s tandard R interfac e Revolution Confidential 13
- 14. DevelopR Integrated Development E nvironment 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 14
- 15. Revolution ConfidentialR evolution R E nterpris e Performance 15
- 16. P erformanc e: Multi-threaded Math Revolution ConfidentialOpen Revolution RSource R Enterprise Computation (4-core laptop) Open Source R Revolution R Speedup Linear Algebra1 Matrix Multiply 176 sec 9.3 sec 18x Cholesky Factorization 25.5 sec 1.3 sec 19x Linear Discriminant Analysis 189 sec 74 sec 3x 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/ 16
- 17. Revolution ConfidentialR evolution R E nterpris eBig Data Analysis with ScaleR 17
- 18. R evoS c aleR brings the power ofB ig Data to R Revolution ConfidentialParallel External AbstractedMemory Algorithms communications layerexploit available Communications Distributed provides portability ofcompute resources Framework Statistical code between(cores & computers) Algorithms platforms: server,independent of cluster, or in-databaseplatformUse the high-speedlocal data mart R Language Familiar, high-(XDF), or stream Interface productivity Data Sourcedata from SAS, programming APIODBC, HDFS or other environment for Rremote data userssources. 18
- 19. S c aleR A ddres s es P erformanc e andC apac ity L imitations of Open S ourc e R Revolution Confidential 19
- 20. High P erformanc e B ig Data A nalytic s withS c aleR Revolution Confidential R Data Step Descriptive Statistical Sampling Statistics Tests Predictive Data Machine Simulation Models Visualization Learning 20
- 21. R evolution R E nterpris e S c aleR : Revolution Confidential High P erformanc e B ig Data A nalytic s Data Prep, Distillation & Descriptive Analytics R Data Step Descriptive Statistics Statistical Tests Data import – Delimited, Min / Max Chi Square Test Fixed, SAS, SPSS, OBDC Mean Kendall Rank Correlation Variable creation & Median (approx.) Fisher’s Exact Test transformation Quantiles (approx.) Student’s t-Test Recode variables Standard Deviation Factor variables Variance Missing value handling Correlation Sampling Sort Covariance Merge Sum of Squares (cross product Split matrix for set variables) Subsample (observations & Aggregate by category Pairwise Cross tabs variables) (means, sums) Risk Ratio & Odds Ratio Random Sampling Cross-Tabulation of Data (standard tables & long form) Marginal Summaries of Cross Tabulations 21
- 22. R evolution R E nterpris e S c aleR : Revolution Confidential High P erformanc e B ig Data A nalytic s Statistical Modeling Machine Learning Predictive Models Data Visualization Cluster Analysis Sum of Squares (cross product Histogram K-Means matrix for set variables) Line Plot Multiple Linear Regression Scatter Plot Generalized Linear Models (GLM) Lorenz Curve - All exponential family ROC Curves (actual data and Classification distributions: binomial, Gaussian, predicted values) inverse Gaussian, Poisson, Tweedie. Standard link functions Decision Trees including: cauchit, identity, log, logit, probit. User defined Simulation distributions & link functions. Covariance & Correlation Matrices Logistic Regression Classification & Regression Trees Predictions/scoring for models Monte Carlo Residuals for all models 22
- 23. Revolution ConfidentialR evolution R E nterpris e Enterprise Deployment 23
- 24. C reate c us tom, on-demand analytic s applic ations Revolution ConfidentialS ome examples : On-demand sales forecasting Real-time social Leveraging the media sentiment power of R from analysis Microsoft tools 24
- 25. R evolution R E nterpris e DeployRintegrates R with applic ations Revolution Confidential Data Analysis DeployR R / Statistical Deployment Modeling Expert Expert Business Intelligence Mobile Web Apps Seamless Bring the power of R to any web enabled application Simple Leverage common APIs including JS, Java, .NET Scalable Robustly scale user and compute workloads Secure Cloud / SaaS Manage enterprise security with LDAP & SSO 25
- 26. R evolution R Revolution ConfidentialE nterpris eA rc hitec tureUse a connected MPPserver or cluster for: Data exploration On-demand R applications Big-data predictive models Offline (batch) operations Code generation for real-time deployment
- 27. C onnec tR for Hadoop: S tream data from Revolution ConfidentialHadoop to R evolution R E nterpris e
- 28. Revolution Confidential On-Call Technical Support Consulting Migration | Analytics | Applications | Validation Training R | Revolution R | Statistical Topics Systems Integration BI | ERP | Databases | Cloud 28
- 29. Revolution ConfidentialP oll Ques tion What interests you most about Revolution R Enterprise?
- 30. Why c us tomers c hoos e R evolution RE nterpris e Revolution Confidential INNOVATION MULTI-PLATFORM TIME-to-VALUE VALUE 30
- 31. T hank You! Revolution Confidential Download slides, replay http://bit.ly/YbfQo1 Resources for getting started with R http://bit.ly/ZnZGt2 Get Revolution R Enterprise Contact Sales: http://bit.ly/hey-revo Free to Academics: www.revolutionanalytics.com/academic We’re Hiring! www.revolutionanalytics.com/careers 31
- 32. T hank you. Revolution Confidential The leading commercial provider of software and support for the popular open source R statistics language. www.revolutionanalytics.com 650.646.9545 Twitter: @RevolutionR 32

No public clipboards found for this slide

×
### Save the most important slides with Clipping

Clipping is a handy way to collect and organize the most important slides from a presentation. You can keep your great finds in clipboards organized around topics.

Be the first to comment