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Technology Update
Deepak Ramanathan
Asia Pacific - Technology




                            Copyright © 2011, SAS Institute Inc. All rights reserved.
2



Copyright © 2011, SAS Institute Inc. All rights reserved.
Technology Update?




                                                                         3



             Copyright © 2011, SAS Institute Inc. All rights reserved.
4



Copyright © 2011, SAS Institute Inc. All rights reserved.
5



Copyright © 2011, SAS Institute Inc. All rights reserved.
Data Integration Studio 4.3




                                                                            6



                Copyright © 2011, SAS Institute Inc. All rights reserved.
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.
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.
Metadata Search




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              Copyright © 2011, SAS Institute Inc. All rights reserved.
Metadata Search




                                                                          10



              Copyright © 2011, SAS Institute Inc. All rights reserved.
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.
SAS Code Importer Enhancements




                                                                         12



             Copyright © 2011, SAS Institute Inc. All rights reserved.
13



Copyright © 2011, SAS Institute Inc. All rights reserved.
And much more!




                                                                         14



             Copyright © 2011, SAS Institute Inc. All rights reserved.
15



Copyright © 2011, SAS Institute Inc. All rights reserved.
What’s New in Reporting
 Enterprise Guide 5.1
 Add in for Microsoft Office 5.1
 Roambi for SAS
 SAS VAE




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                     Copyright © 2011, SAS Institute Inc. All rights reserved.
Enterprise Guide – 5.1




                                                                           17



               Copyright © 2011, SAS Institute Inc. All rights reserved.
EG 5.1




                                                                     18



         Copyright © 2011, SAS Institute Inc. All rights reserved.
Add-In for MS Office 5.1 - Outlook
Integration




                                                                            19



                Copyright © 2011, SAS Institute Inc. All rights reserved.
Add-In for MS Office 5.1 - Task Gallery




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                Copyright © 2011, SAS Institute Inc. All rights reserved.
21
Copyright © 2010, SAS Institute Inc. All rights reserved.
22



Copyright © 2011, SAS Institute Inc. All rights reserved.
BI Dashboard 4.3




                                                                          23



              Copyright © 2011, SAS Institute Inc. All rights reserved.
24



Copyright © 2011, SAS Institute Inc. All rights reserved.
SAS Analytics – What’s New
 Enterprise Miner
 Model Manager
 SAS/STAT
 SAS/ETS
 SAS/OR




                                                                                 25



                     Copyright © 2011, SAS Institute Inc. All rights reserved.
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)




                                                                                                                                                                                            26


These 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.
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




                                                                                                                                                                                            27


These 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.
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




                                                                                                                                                                                            28


These 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.
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




                                                                                                                                                                                            29


These 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.
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




                                                                                                                                                                                            30


These 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Much More Being Introduced




                                                                          41



              Copyright © 2011, SAS Institute Inc. All rights reserved.
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.
Copyright © 2011, SAS Institute Inc. All rights reserved.

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Technology Update

  • 1. Technology Update Deepak Ramanathan Asia Pacific - Technology Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 2. 2 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 3. Technology Update? 3 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 4. 4 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 5. 5 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 6. Data Integration Studio 4.3 6 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 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. 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. Metadata Search 9 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 10. Metadata Search 10 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 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. SAS Code Importer Enhancements 12 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 13. 13 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 14. And much more! 14 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 15. 15 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 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. Enterprise Guide – 5.1 17 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 18. EG 5.1 18 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 19. Add-In for MS Office 5.1 - Outlook Integration 19 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 20. Add-In for MS Office 5.1 - Task Gallery 20 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 21. 21 Copyright © 2010, SAS Institute Inc. All rights reserved.
  • 22. 22 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 23. BI Dashboard 4.3 23 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 24. 24 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 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. 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) 26 These 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. 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 27 These 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. 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 28 These 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. 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 29 These 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. 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 30 These 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. Much More Being Introduced 41 Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 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. Copyright © 2011, SAS Institute Inc. All rights reserved.