Technology Update

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Presented at SAS Business Analytics 2011 event in Singapore.

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Technology Update

  1. 1. Technology UpdateDeepak RamanathanAsia Pacific - Technology Copyright © 2011, SAS Institute Inc. All rights reserved.
  2. 2. 2Copyright © 2011, SAS Institute Inc. All rights reserved.
  3. 3. Technology Update? 3 Copyright © 2011, SAS Institute Inc. All rights reserved.
  4. 4. 4Copyright © 2011, SAS Institute Inc. All rights reserved.
  5. 5. 5Copyright © 2011, SAS Institute Inc. All rights reserved.
  6. 6. Data Integration Studio 4.3 6 Copyright © 2011, SAS Institute Inc. All rights reserved.
  7. 7. What’s New in DI Studio 4.3? New and Enhanced Access Engines  Greenplum, Sybase IQ, Aster Data 7 Copyright © 2011, SAS Institute Inc. All rights reserved.
  8. 8. What’s New in DI Studio 4.3? New Transformations • SQL Union • Easy import of UDFs into expressions • Optimized Oracle Bulk Loader • Additional DBMS Expression Builder functions 8 Copyright © 2011, SAS Institute Inc. All rights reserved.
  9. 9. Metadata Search 9 Copyright © 2011, SAS Institute Inc. All rights reserved.
  10. 10. Metadata Search 10 Copyright © 2011, SAS Institute Inc. All rights reserved.
  11. 11. SAS Code Importer Support optional Macro expansion New “Analyze” only feature  Detailed summary information Collision detection with warnings  Ex: Library already exists but different path Better logging and error checking Work tables can be registered as physical tables Many more fixes and user requested enhancements 11 Copyright © 2011, SAS Institute Inc. All rights reserved.
  12. 12. SAS Code Importer Enhancements 12 Copyright © 2011, SAS Institute Inc. All rights reserved.
  13. 13. 13Copyright © 2011, SAS Institute Inc. All rights reserved.
  14. 14. And much more! 14 Copyright © 2011, SAS Institute Inc. All rights reserved.
  15. 15. 15Copyright © 2011, SAS Institute Inc. All rights reserved.
  16. 16. What’s New in Reporting Enterprise Guide 5.1 Add in for Microsoft Office 5.1 Roambi for SAS SAS VAE 16 Copyright © 2011, SAS Institute Inc. All rights reserved.
  17. 17. Enterprise Guide – 5.1 17 Copyright © 2011, SAS Institute Inc. All rights reserved.
  18. 18. EG 5.1 18 Copyright © 2011, SAS Institute Inc. All rights reserved.
  19. 19. Add-In for MS Office 5.1 - OutlookIntegration 19 Copyright © 2011, SAS Institute Inc. All rights reserved.
  20. 20. Add-In for MS Office 5.1 - Task Gallery 20 Copyright © 2011, SAS Institute Inc. All rights reserved.
  21. 21. 21Copyright © 2010, SAS Institute Inc. All rights reserved.
  22. 22. 22Copyright © 2011, SAS Institute Inc. All rights reserved.
  23. 23. BI Dashboard 4.3 23 Copyright © 2011, SAS Institute Inc. All rights reserved.
  24. 24. 24Copyright © 2011, SAS Institute Inc. All rights reserved.
  25. 25. SAS Analytics – What’s New Enterprise Miner Model Manager SAS/STAT SAS/ETS SAS/OR 25 Copyright © 2011, SAS Institute Inc. All rights reserved.
  26. 26. SAS ® Enterprise Miner 7.1  Data Mining  Release Objectives  Application tools  In-database processing  Key Features  Survival data mining for time dependent outcomes  High performance rate making (claims, severity, and pure premium)  Support for logistic regression models in LAR/LASSO node  Optimal binning with constraints for credit score carding  In-database expansions for statistical transformations and modeling  Time series data mining tools (Experimental) 26These materials are proprietary to SAS® and constitute SAS confidential information pursuant to the terms of the confidentiality or nondisclosure agreement in place between you and SAS® Copyright © 2011, SAS Institute Inc. All rights reserved.
  27. 27. SAS ® Model Manager 3.1  Data Mining  Release Objectives  Deeper support for existing models  Broader support for additional model types  Key Features  Workflow to replace lifecycle templates and enable automated and collaborative model import, comparison, validation, scoring, monitoring and retraining  Model retraining in MM  New report types  Model management for additional types of models including R models 27These materials are proprietary to SAS® and constitute SAS confidential information pursuant to the terms of the confidentiality or nondisclosure agreement in place between you and SAS® Copyright © 2011, SAS Institute Inc. All rights reserved.
  28. 28. SAS/STAT ® 9.3  Statistics  Key Features  New FMM procedure (experimental) for finite mixture modeling  Shared frailty models in PHREG  Expanded capabilities for Bayesian analysis including the addition of a RANDOM statement and multivariate priors in MCMC  Production SURVEYPHREG procedure  New model diagnostics in NLIN  GRAPH license no longer required for ODS Graphics 28These materials are proprietary to SAS® and constitute SAS confidential information pursuant to the terms of the confidentiality or nondisclosure agreement in place between you and SAS® Copyright © 2011, SAS Institute Inc. All rights reserved.
  29. 29. SAS/ETS ® 9.3  Forecasting and Econometrics  Key Features  New procedure for fitting copula distributions  New procedure for statespace modeling  Automatic variable selection for COUNTREG procedure  Update data engines to support latest releases  Additional / improved ODS Graphics plots 29These materials are proprietary to SAS® and constitute SAS confidential information pursuant to the terms of the confidentiality or nondisclosure agreement in place between you and SAS® Copyright © 2011, SAS Institute Inc. All rights reserved.
  30. 30. SAS/OR ® 9.3  Operations Research  Key Features - Optimization  New network simplex linear programming algorithm  Crossover feature for interior-point linear programming solver (experimental)  Improvements to nonlinear solvers and introduction of a multi-start method for nonlinear programming  Performance improvements for mixed integer programming solver  Key Features - Simulation  Using data to drive models – empirical distributions, nonhomogeneous Poisson processes  Improved usability to simplify navigation of large models  Support for Windows 64 and remote SAS servers  Automatic input distribution fitting using JMP for Simulation Studio 30These materials are proprietary to SAS® and constitute SAS confidential information pursuant to the terms of the confidentiality or nondisclosure agreement in place between you and SAS® Copyright © 2011, SAS Institute Inc. All rights reserved.
  31. 31. Introducing SAS High-Performance Analytics SAS High Performance Analytics has been developed to solve complex business problems that require sophisticated high-end analytics and access to big data Statistical techniques addressed by the product include: Correlation analysis, Linear regression and variable selection with classical and modern methods, Logistic regression, Neural nets, Linear mixed models, Nonlinear regression and maximum likelihood, Optimization 31 Copyright © 2011, SAS Institute Inc. All rights reserved.
  32. 32. SAS High-Performance Analytics: Topology(DRAFT) Base SAS1 Client Tier SAS/STAT1 SAS High Performance Analytics1 SAS/Access Interface for Teradata or Greenplum1 SAS Grid Manager2 Appliance SAS In-Memory Analytics SAS Embedded Process Database Storage Teradata or EMC Greenplum 1 Dependent products, 2 Optional products 32 Copyright © 2011, SAS Institute Inc. All rights reserved.
  33. 33. SAS High-Performance Analytics: Capabilities Data Preparation Data Exploration Analytics• (HP)DS2* • SUMMARY/MEANS • HPLOGISTIC• SORT • FREQ • HPREG • RANK • HPLMIXED • HPFOREST • HPNEURAL • HPREDUCE • HPNLIN 33 Copyright © 2011, SAS Institute Inc. All rights reserved.
  34. 34. SAS High-Performance Analytics:Architecture Submit a program from a SAS client session (eg. HPLOGISTIC) proc hplogistic data=GPlib.sgf_binary; class A B C; model y = a b c x1 x2 x3; performance details host="green1"; run; 34 Copyright © 2011, SAS Institute Inc. All rights reserved.
  35. 35. SAS High-Performance Analytics:Architecture Master Request is sent to the appliance and received by the Master Node Worker Node 1 Worker Node 2 Worker Node N 35 Copyright © 2011, SAS Institute Inc. All rights reserved.
  36. 36. SAS High-Performance Analytics:Architecture Master Worker Node 1 Worker Node 2 Worker Node N Analytical Computation and data request sent to the worker nodes 36 Copyright © 2011, SAS Institute Inc. All rights reserved.
  37. 37. SAS High-Performance Analytics:Architecture Master Worker Node 1 Worker Node 2 Worker Node N Data request sent to the database, data slice moved into memory 37 Copyright © 2011, SAS Institute Inc. All rights reserved.
  38. 38. SAS High-Performance Analytics:Architecture Master Worker Node 1 Worker Node 2 Worker Node N Analytic Processing with internode communication 38 Copyright © 2011, SAS Institute Inc. All rights reserved.
  39. 39. SAS High-Performance Analytics:Architecture Master Worker Node 1 Worker Node 2 Worker Node N Worker node results returned to the Master Node, finalize computation 39 Copyright © 2011, SAS Institute Inc. All rights reserved.
  40. 40. SAS High-Performance Analytics:Architecture Root Node Worker Node 1 Worker Node 2 Worker Node N Result returned to the client 40 Copyright © 2011, SAS Institute Inc. All rights reserved.
  41. 41. Much More Being Introduced 41 Copyright © 2011, SAS Institute Inc. All rights reserved.
  42. 42. Call to Action to SAS Jedi Warriors Speak to your SAS Representative on Technology Updates Join the SAS Singapore User Community SASCommunity.org May the Proc be with you! 42 Copyright © 2011, SAS Institute Inc. All rights reserved.
  43. 43. Copyright © 2011, SAS Institute Inc. All rights reserved.

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