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Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
Extending the Reach of the R Language with TERR and Spotfire
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Extending the Reach of the R Language with TERR and Spotfire

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In this presentation for the LA R User's Group on 4/1/14, I discuss how TIBCO helps organizations increase the value of their investments in the R language, using TIBCO Enterprise Runtime for R.

In this presentation for the LA R User's Group on 4/1/14, I discuss how TIBCO helps organizations increase the value of their investments in the R language, using TIBCO Enterprise Runtime for R.

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  • “But we needed to do more. This wasn’t enough for Enterprise customers)
  • Meaningful benchmarks are hardWe can handle how you typically write code.
  • Benjamin Kreck, 3/;3:Hi all, I’ve done some more performance comparisons between R and TERR: This time for support vector machines coming from e1071. Results can be found in the attached .dxp (R/TERR results are already calculated -> Spotfire can be used offline).The take home message is again: The bigger the data set the higher the performance advantage of TERR compared to R! 
  • NOTE: TIBCO® Cloud Compute Grid will be using TERR 1.5 at Nov. 2013 release. Date for migration to TERR 2.0 TBD. More info at http://confluence.tibco.com/display/spf/TERR%2C+Grid+Server+and+TIBCO+Cloud+Compute
  • Transcript

    • 1. Extending the R Language to the Enterprise with Spotfire and TERR Lou Bajuk-Yorgan Sr. Dir., Product Management TIBCO Spotfire lbajuk@tibco.com @loubajuk © Copyright 2000-2014 TIBCO Software Inc. 1
    • 2. Extending the Reach of R to the Enterprise • TIBCO, S+, and embracing R in Spotfire • Challenges of R for Enterprise applications • TIBCO Enterprise Runtime for R (TERR) • Benefits for organizations (and individuals) who use R • Spotfire & TERR • TERR integration & performance • Learn more and try it yourself - 2
    • 3. Our Journey to TERR • John Chambers developed the S language at Bell Labs – Starting in the mid 70’s • Insightful (Statsci) founded to commercial S as S+ in 1987 – The ―plus‖: statistical libraries, documentation, and support – Later focus on commercial users, ease of use, server integration • R: development begun by Ross Ihaka and Robert Gentleman at University of Auckland in mid 90’s • Insightful acquired by TIBCO in 2008 – Spotfire (for Data Discovery and Visualization) acquired in 2007 • Focus shifted to applying Predictive Analytics in Spotfire – Step 1: Embrace R - 3
    • 4. Embracing R • Spotfire Statistics Server – Integration of R & S+ into Spotfire applications • Later added SAS® & MATLAB® – Leverage the interactive visualizations of Spotfire • Contribute to the R community • Well received—but our Enterprise customers need more – R provides tremendous benefits to statisticians – But large enterprises are often challenged to leverage that value - 4
    • 5. © Copyright 2000-2013 TIBCO Software Inc. • Core R engine struggles with Big Data – Customers don’t use R, or reimplement R code in specialized libraries or other languages – Lose agility & consistency, delay time to production, lose opportunities • R was not built for enterprise usage and integration – Built as an academic tool for research and teaching – Software vendors attempting to use R in ways it was never intended • GPL great for statisticians, but limits enterprise innovation and investment – Viral open source licensing risks commercial IP – Large vendors avoid tight integration due to open source concerns – Leads to complex installations for enterprise customers • Free to acquire, but costly to maintain – Version incompatibilities, variable quality in packages – Lack of enterprise-level technical support Enterprise Challenges for R 5
    • 6. © Copyright 2000-2013 TIBCO Software Inc. • Unique, enterprise-quality implementation of the R language – Fundamentally different • New architecture, developed from the ground up • Based on our long history and expertise with S+ • Faster, more robust and more memory-efficient than R – TIBCO IP: Not open source/GPL • Independent implementation • Licensable for embedding and redistribution by partners • Enables implementation of transparent big data handling – Broad compatibility with R functions and 1400+ CRAN packages • Ongoing effort to broaden our coverage of R • Extends the Reach of R to the Enterprise – Develop in R, deploy on TERR – Rapidly iterate prototyping to production without recoding/retesting—more rapidly respond to changing business conditions – Easily integrate R-language analytics consistently across organization—into grids, BI applications, event-driven analytics, etc. TIBCO Enterprise Runtime for R (TERR)
    • 7. © Copyright 2000-2013 TIBCO Software Inc. Leveraging TERR Embeddable TERR Engine Custom (tight) integration, batch, existing grids, etc. • Faster than R, more robust, better memory management, fully supported • Low level APIs for tight integration • Integrated into TIBCO products: CEP, Cloud Compute, … TERR in Statistics Services Distributed analytics • Managed pools of engines • Load balancing, queuing, failover, parallelization, etc. • High level APIs for loose integration, data i/o (C#, Java) • Central management of analytics, R packages TERR in Spotfire Ad hoc tools and interactive applications powered by advanced analytics • Spotfire Analytics platform: interactive visualization & data discovery, easily build and share applications, broad data access, etc.
    • 8. Easily provide targeted, relevant predictive analytics to business users to improve decision making • Ensure compliance & proper usage • Share best practices and consistent workflows • Get the answer & do ―What If?‖ analyses when needed • Leverage investments in R, S+, SAS, MATLAB, … Powerful Predictive Analytics tools for Spotfire analysts • Integrated into Spotfire workflows • Easily create, evaluate, and share Predictive Models • Add Forecasts with a single click Benefits of Predictive Analytics to a spectrum of users • Increase confidence & effectiveness in decision-making – Reduce uncertainty – Discover meaningful patterns, important data – Maximize ROI • Anticipate and react to emerging trends • Reduce/manage risk – Scenario planning, forecasts, fraud detection • Forecast specific behavior, preemptively act on it – Increase upsell, decrease churn Predictive Analytics with Spotfire
    • 9. Providing Value for individuals who use R • Not seeking to displace R from statistician’s desktops – Enterprise platform for the deployment and integration of your work—without having to rewrite it! • Contribute to the R community – Sponsor useR conferences, contribute to R Foundation – Contribute bug reports and propose fixes to R core • Contribute packages to CRAN – As we port from S+ or develop for TERR • Supports ―Develop in Open Source R, Deploy on TERR‖ • E.g., splusTimeSeries, splusTimeDate, sjdbc • TERR Developer Edition – Full version of TERR engine for testing code prior to deployment • Compatible with RStudio & ESS Emacs – Free for non-production use – Supported through Community site -
    • 10. Example 1: TERR vs. R Raw Performance One specific example • Non-optimal, non-vectorized, real-world R script • For loop with row by row processing for (i in seq(1,length=nrow(df))) { …process each customer record… } Results • TERR is ~35x faster for 50K rows, 150x faster for 500K rows • No code modification required We are looking for more real-world performance tests! • On average 2-10x faster than R in microtests
    • 11. TERR vs. R Performance: SVMs from e1071
    • 12. TERR vs. R Performance: GLM Model Fitting and Scoring Model Fitting: 5 Million Rows Model Scoring: 20 Million Rows
    • 13. • Forecast Tool – Easily add Forecasts to Visualizations by right click menu – Advanced users can tune settings – Uses embedded TERR engine • Benefits – Extend the power of Predictive Analytics for ad hoc analysis to all Spotfire users – Easy entry point to Spotfire Predictive Analytics Example 2: Spotfire Forecast Tool
    • 14. • Event-Driven analysis in TIBCO Spotfire Event Analytics – Process monitoring, analysis, and optimization • Apply predictive models in real-time decision making – Best marketing offer – Customer churn – Predictive Maintenance – Yield optimization • Rapidly develop and iterate models in production – Respond to changing opportunities and threats TERR integration with TIBCO StreamBase 15
    • 15. TIBCO Cloud Compute Grid • High performance computing on the cloud – Available on TIBCO Cloud Marketplace – TERR, Java and .NET computations • Robust DataSynapse GridServer architecture – Used by Wall Street to manage 10K’s nodes – Java, .NET, and REST APIs (JSON) • Perfect for pure computational work – Vastly easier to use for applications like Monte Carlo simulations than Map-Reduce – Run complex statistical models multiple orders of magnitude faster than open source R on a single computer – Unparalleled scalability without upfront capital investment • Easy to get started – Uses your Amazon EC2 account
    • 16. Demos • TERR in Spotfire – Forecast Tool – Sales Forecasting (A simple application) • Data Functions: using the R language in Spotfire • Calling TERR from Spotfire Expression Language – Creating Expression Functions – Fraud Detection (A more complex application) • TERR in RStudio
    • 17. • TERR Community at TIBCOmmunity.com – Resources, FAQs, Forums – Details of R coverage – Product documentation & download – More info at spotfire.tibco.com/terr • TERR Developer Edition – Full version of TERR engine for testing code prior to deployment – Supported through TIBCOmmunity, download via tap.tibco.com • TIBCO Cloud Compute Grid – https://marketplace.cloud.tibco.com • Presentations: http://www.slideshare.net/loubajukyorgan/presentations • We want your feedback and input! – Real world performance tests – Package & R coverage prioritization – Via TERR Community, or contact me lbajuk@tibco.com or @loubajuk
    • 18. TIBCO Spotfire Day by Perkin Elmer • PerkinElmer San Jose Tech Center • Tuesday May 6th, 8:30 AM to 3 PM • Flyers available

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