HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

cpu time

951 papers and 18 presentations; 800 titles.

Back to keywords

Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 An Alternative Option to Create XPT Files with a SAS Function Jose Hernandez Rivero,
Ruth Marisol Rivera Barragan
source 5
PharmaSUG 2026 Enhancing CDISC Standards Implementation (SDTM and ADaM) with PROC FCMP, PROC IML and Macro Loop Integration in Oncology Clinical Trials. Ajay Gupta,
Misikir Tesfaye
source 7
PharmaSUG 2026 SAS Performance Tuning Techniques (From Slow to Scalable) Kirk Paul Lafler source 18
PharmaSUG 2026 SAS Programming techniques for efficiency and code optimization Jayanth Iyengar source 27
PHUSE EU 2025 How Does a Computer Really Process Your SAS Code? Ben Barnaby-Pass source
presentation source
5
PHUSE EU 2025 SAS Code Hidden in Plain Sight Bartosz Jabłoński source
presentation source
28
MWSUG 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
MWSUG 2025 From %Let to %Local; Methods, Use, and Scope of Macro Variables in SAS Programming Jayanth Iyengar source 23
MWSUG 2025 GIS Challenges of Cataloging Catastrophes: Serving up GeoWaffles with a Side of Hash Tables to Conquer Big Data Point-in-Polygon Determination Troy Martin Hughes source 28
MWSUG 2025 PROC BGLIMM: The Smooth Transition to Bayesian Analysis Danny R. Modlin source 57
MWSUG 2025 Under the Hood: The Mechanics of SQL Query Optimization Techniques Kirk Paul Lafler source 8
MWSUG 2025 Validate the Code, not just the Data : A System for SAS program evaluation Jayanth Iyengar source 38
SESUG 2025 Behind the Scenes with SAS Catalogs: Formats, Macros, and More Tejalkumari Tailor 13
SESUG 2025 Macro Variable Arrays Made Easy with macroArray SAS package Bartosz Jabłoński 46
SESUG 2025 PROC BGLIMM: The Smooth Transition to Bayesian Analysis Danny R. Modlin 57
SESUG 2025 RIGHT-SIZING CHARACTER VARIABLES: A SAS DATA MANAGEMENT STRATEGY FOR OPTIMIZING LARGE DATASETS Divya Gadde 7
SESUG 2025 SAS Code Hidden in Plain Sight Bartosz Jabłoński 28
WUSS 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
WUSS 2025 PROC BGLIMM: The Smooth Transition to Bayesian Analysis [presentation] Danny R. Modlin source 57
WUSS 2025 Validate the Code, not just the Data : A System for SAS program validation Jayanth Iyengar source 38
PharmaSUG 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
PharmaSUG 2025 Validate the Code, not just the Data : A System for SAS program validation Jayanth Iyengar source 38
MWSUG 2024 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
MWSUG 2024 Confessions of a PROC SQL Instructor [presentation] Charu Shankar source 77
MWSUG 2024 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
PHUSE EU 2024 Analysing Your SAS Log with User-Defined Rules Using an App or Macro Philip A. Mason source
presentation source
11
SESUG 2024 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar source 20
SESUG 2024 One Click to Create a List of MEPS-HC ZIP Files' Download URLs: Web Scraping with SAS and Python Pradip K. Muhuri,
Charles Z.X. Han,
John Vickery
source 20
WUSS 2024 LAST CALL to Get Tipsy with SAS: Tips for Using CALL Subroutines Lisa A. Mendez,
Richann J. Watson
source 20
WUSS 2024 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
PharmaSUG CN 2024 Beyond the appearance: Unveiling the power of PROC FORMAT Xiangyu Song source 19
PharmaSUG 2024 Analyzing your SAS log with user defined rules using an app or macro. Philip A. Mason source 10
PharmaSUG 2024 Combine PDFs in Submission-ready Format Quick and Easy Robin Wu,
Lili Li,
Steven Huang
source 6
PharmaSUG 2024 LAST CALL to Get Tipsy with SAS: Tips for Using CALL Subroutines Lisa A. Mendez,
Richann J. Watson
source 20
PHUSE EU 2023 Concomitant Medication Duration Calculation Using the SAS DS2 Procedure Yirong Cao source
presentation source
10
PHUSE EU 2023 Gear Up SDTM with Digital Health Devices Vicky Poulsen source
presentation source
5
WUSS 2023 10 Quick Tips for Getting Tipsy with SAS Lisa A. Mendez,
Richann J. Watson
source 16
WUSS 2023 Processing Large Volumes of Communicable Disease Data: SAS Techniques from the COVID-19 Experience in San Diego County Whitney Webber,
Nathaly Moran,
Jacob Ritz,
Fatema Sakha,
Jacquelyn Ho,
Jennifer Nelson
source 10
WUSS 2023 SAS Code Hidden in Plain Sight Bartosz Jabłoński source
code
28
SESUG 2023 10 Quick Tips for Getting Tipsy with SAS Richann J. Watson,
Lisa A. Mendez
source 16
SESUG 2023 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
SESUG 2023 Data Management and Analysis of Adverse Events Data using SAS ARRAY, IF-THEN, DO LOOP, and MACRO Statements Amita Patil source 6
SESUG 2023 Pol-y-mor-phism in SAS, Or, Good Programmers are Lazy David B. Horvath source 21
SESUG 2023 Speeding up Your SAS Code Using Parallel Processing David L. Ward source 14
SESUG 2023 Systemic Quantitative check to identify if a variable is a confounder in a dataset using SAS Macro code Kannan Deivasigamani,
Douglas Lunsford
source 17
SESUG 2023 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
PharmaSUG 2023 10 Quick Tips for Getting Tipsy with SAS Lisa A. Mendez,
Richann J. Watson
source 16
PharmaSUG 2023 Be a Lazy Validator - Let Your Code Do the Work Cara Lacson,
Ray de la Rosa,
Carol Matthews
source 17
PharmaSUG 2023 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
SESUG 2022 Calling for Backup When Your One-Alarm Becomes a Two-Alarm Fire: Developing SAS Data-Driven Concurrent Processing Models through Control Tables and Dynamic Fuzzy Logic Troy Martin Hughes source 27
SESUG 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden
source 33
SESUG 2022 Getting Started with DATA Step Hash Objects Joshua M. Horstman source 8
SESUG 2022 Pol-y-mor-phism in SAS, Or, Good Programmers are Lazy David B. Horvath source 21
SESUG 2022 Simplified Linux SAS Log Comparison: Filtering Differences Into "Useful" and "Useless" Files Bruce F. Gilsen source 15
WUSS 2022 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 21
WUSS 2022 Calling for Backup When Your One-Alarm Becomes a Two-Alarm Fire: Developing SAS Data-Driven Concurrent Processing Models through Control Tables and Dynamic Fuzzy Logic Troy Martin Hughes source 27
WUSS 2022 Cooking in SAS Viya Charu Shankar source 10
WUSS 2022 Failure To EXIST: Why Testing Data Set Existence with the EXIST Function Is Inadequate for Serious Software Development in Asynchronous, Multiuser, and Parallel Processing Environments Troy Martin Hughes source 12
WUSS 2022 From %Let to %Local; Methods, Use, and Scope of Macro Variables in SAS Programming Jayanth Iyengar source 23
WUSS 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden
source 33
WUSS 2022 Getting Started with DATA Step Hash Objects Joshua M. Horstman source 8
WUSS 2022 GIS Challenges of Cataloging Catastrophes: Serving up GeoWaffles with a Side of Hash Tables to Conquer Big Data Point-in-Polygon Determination and Supplant SAS PROC GINSIDE Troy Martin Hughes source 28
PharmaSUG 2022 Calling for Backup When Your One-Alarm Becomes a Two-Alarm Fire: Developing SAS Data-Driven Concurrent Processing Models through Control Tables and Dynamic Fuzzy Logic Troy Martin Hughes source 27
PharmaSUG 2022 From %Let to %Local; Methods, Use, and Scope of Macro Variables in SAS Programming Jayanth Iyengar source 23
PharmaSUG 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden
source 33
PharmaSUG 2022 GIS Challenges of Cataloging Catastrophes: Serving up GeoWaffles with a Side of Hash Tables to Conquer Big Data Point-in-Polygon Determination and Supplant SAS PROC GINSIDE Troy Martin Hughes source 28
PharmaSUG 2022 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar,
Joshua M. Horstman
source 28
PharmaSUG 2022 Macro for Working with Zip Transport Files from the Web: The Case of the Medical Expenditure Panel Survey Pradip Muhuri source 14
PharmaSUG 2022 SAS Standard Programming Practices - Handy Tips for the Savvy Programmer Navneet Agnihotri,
Sumit Pratap Pradhan,
Rachel Brown
source 11
PHUSE US 2022 SAS Features We Underestimate [presentation] Andrii Borzenkov source
video
23
PHUSE EU 2021 SAS Coding Efficiency: Developing a Performance Mindset [presentation] Richard Paterson source
video
21
SESUG 2021 From %Let to %Local; Methods, Use, and Scope of Macro Variables in SAS Programming Jayanth Iyengar source 23
SESUG 2021 Getting Started with DATA Step Hash Objects Joshua M. Horstman source 8
SESUG 2021 Getting Started with DATA Step Hash Objects Joshua M. Horstman source 8
SESUG 2021 GIS Challenges of Cataloging Catastrophes: Serving up GeoWaffles with a Side of Hash Tables to Conquer Big Data Point-in-Polygon Determination and Supplant SAS PROC GINSIDE Troy Martin Hughes source 28
SESUG 2021 SAS Performance Tuning Techniques Kirk Paul Lafler source 11
SESUG 2021 To COMPRESS or Not, to COMPRESS or ZIP David B. Horvath 40
SESUG 2021 Under the Hood: The Mechanics of SQL Query Optimization Techniques Kirk Paul Lafler source 9
SESUG 2021 Yo Mama is Broke Cause Yo Daddy is Missing: Autonomously and Responsibly Responding to Missing or Invalid SAS Data Sets Through Exception Handling Routines Troy Martin Hughes source 11
PHUSE US 2021 Tipping the Scale: Moving from Scaling Experts to Balancing them with Novel Technologies [presentation] Christopher J. Colangelo source
video
12
PharmaSUG 2021 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
PharmaSUG 2021 From %Let to %Local; Methods, Use, and Scope of Macro Variables in SAS Programming Jayanth Iyengar source 23
PharmaSUG 2021 Under the Hood: The Mechanics of Various SQL Query Optimization Techniques Kirk Paul Lafler source 9
PharmaSUG 2021 Yo Mama is Broke Cause Yo Daddy is Missing: Autonomously and Responsibly Responding to Missing or Invalid SAS Data Sets Through Exception Handling Routines Troy Martin Hughes source 11
SGF 2021 If You Need These OBS and These VARS, Then Drop IF and Keep WHERE Jayanth Iyengar source 9
PHUSE EU 2020 Last Mile Problem to Manage Data Transformation for Analysis & Reporting [presentation] Deven Babre,
Rajaram Venkatesan
source
video
19
SESUG 2020 A Game Plan for Beating the IF-THEN-ELSE Overhead in DATA Steps Jason J. Su source 20
SESUG 2020 Code Generating Code: An alternative to Macros David B. Horvath source 18
SESUG 2020 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar,
Joshua M. Horstman
source 28
SGF 2020 Accelerate DATA Step BY-Group Processing in SAS Viya Jason Secosky,
David Bultman
source 14
SGF 2020 How To Access and Manage Microsoft Azure Cloud Data using SAS Kumar Thangamuthu source 14
SGF 2020 Mixed-Effects Models and Complex Survey Data with the GLIMMIX Procedure L. Grisell Diaz-Ramirez,
Bocheng Jing
source 10
SGF 2020 Next Steps: Important Considerations for Moving Your Data and Formats into CAS Kevin Russell source 14
SGF 2020 Optimal Use of Extended Data Types, Memory Mapping in SAS Viya 3.3 Saurabh Tripathi source 9
SGF 2020 SAS and Amazon Redshift: Overview of Current Capabilities Nicolas Robert source 20
SGF 2020 The History and Evolution of SASPy, Including an Overview of What It Can Do and How to Use It Tom Weber source 12
SGF 2020 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar source 18
PharmaSUG 2020 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
PharmaSUG 2020 Transpose Procedure: Turning it Around Again Janet E. Stuelpner source 8
PharmaSUG 2020 Yo Mama is Broke Cause Yo Daddy is Missing: Autonomously and Responsibly Responding to Missing or Invalid SAS Data Sets Through Exception Handling Routines Troy Martin Hughes source 11
PHUSE US 2020 Population PK Dataset: Basic Concepts and Challenges from the Perspective of a SAS Programmer Namrata Pokhrel source
presentation source
12
PHUSE EU 2019 This Data Step Has Been Running for Ages - Can You 'Progress' It? Jean-Michel Bodart source
presentation source
8
SESUG 2019 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
SESUG 2019 Exploring Efficiency in Data Manipulation with SAS: How to Get the Most Out of My Software and Hardware Jonathan W. Duggins source 10
SESUG 2019 HOW AM I DIFFERENT? Kannan Deivasigamani source 17
SESUG 2019 User-Defined Multithreading with the SAS DS2 Procedure: Performance Testing DS2 Against Functionally Equivalent DATA Steps Troy Martin Hughes source 25
SCSUG 2019 Essential SAS Coding Techniques for Gaining Efficiency Kirk Paul Lafler,
Clarence W. Jackson
source 11
MWSUG 2019 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar,
Joshua M. Horstman
24
MWSUG 2019 User-Defined Multithreading with the SAS DS2 Procedure: Performance Testing DS2 Against Functionally Equivalent DATA Steps Troy Martin Hughes 25
WUSS 2019 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
WUSS 2019 PARSING: Using SAS When the Data Are Hiding in a Non-Standard Format Andrew T. Kuligowski source 16
WUSS 2019 User-Defined Multithreading with the SAS DS2 Procedure: Performance Testing DS2 Against Functionally Equivalent DATA Steps Troy Martin Hughes source 25
PharmaSUG 2019 An Innovative Efficacy Table Programming to Automate Its Figure Generation to Ensure Both High Quality and Efficiency Xiangchen (Bob) Cui,
Letan (Cleo) Lin
source 23
PharmaSUG 2019 Let Your Log Do the Work for You Yuliia Bahatska,
Vladlen Ivanushkin
source 10
PharmaSUG 2019 User-Defined Multithreading with the SAS DS2 Procedure: Performance Testing DS2 Against Functionally Equivalent DATA Steps Troy Martin Hughes source 25
PharmaSUG 2019 Ushering SAS Emergency Medicine into the 21st Century: Toward Exception Handling Objectives, Actions, Outcomes, and Comms Troy Martin Hughes source 24
SGF 2019 Accessing Your Favorite Database with SAS and JDBC Salman Maher source 10
SGF 2019 Data-Driven Agent Allocation in a Process using Machine Learning and Optimization in SAS Lokendra Kumar Devangan source 9
SGF 2019 Dynamic Call Center Simulation in SAS: Revamping the Business Resiliency Process at JPMorgan Chase Jay P. Carini,
Amy Pielow,
Joel C. Weaver
source 16
SGF 2019 Seriously Serial or Perfectly Parallel Data Transfer with SAS Viya Robert Collum source 35
SGF 2019 Simple Techniques to Improve the Performance of your SAS Programs When Processing Large Data Sets Steve Cavill source 20
SGF 2019 Solving SAS Performance Problems: Our Methodology Jim Kuell source 8
SGF 2019 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar source 18
SGF 2019 Use advantage of INDEXes even if WHERE clause contains OR condition Bartosz Jabłoński source 12
SGF 2019 Working with Big Data in SAS Mark L. Jordan source 14
PHUSE US 2019 An Antidote for Huge Clinical Trial Data Processing: Enclosing Hash in FCMP Premanand Kumaravel source
presentation source
8
PHUSE EU 2018 Do Loops in Proc DS2 Fred Ross,
George Allerston
source
presentation source
7
PHUSE EU 2018 Time Management: Programming Techniques to Positively Impact Runtimes Ian Sanderson source
presentation source
9
MWSUG 2018 Purrfectly Fabulous Feline Functions Louise S. Hadden 15
MWSUG 2018 Seeing the Forest for the Trees: Part Deux of Defensive Coding by Example Donna E. Levy,
Nancy Brucken
10
MWSUG 2018 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar 18
WUSS 2018 Advanced Programming Techniques Using the DS2 Procedure Viraj R Kumbhakarna source 20
WUSS 2018 Purrfectly Fabulous Feline Functions Louise S. Hadden source 15
PharmaSUG 2018 Know Thy Data: Techniques for Data Exploration Charu Shankar source 9
PharmaSUG 2018 Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization Troy Martin Hughes source 26
PharmaSUG 2018 Purrfectly Fabulous Feline Functions Louise S. Hadden source 15
PharmaSUG 2018 Seeing the Forest for the Trees: Part Deux of Defensive Coding by Example Donna E. Levy,
Nancy Brucken
source 10
PharmaSUG 2018 Why choose between DATA Step or PROC SQL when you can have both? Charu Shankar source 5
SGF 2018 A Need For Speed: Loading Data via the Cloud Hadley Christoffels source 7
SGF 2018 Advanced Programming Techniques Using the DS2 Procedure Viraj R Kumbhakarna source 20
SGF 2018 Automating Code Generation to Reduce Errors and Effort Steve Cavill source 15
SGF 2018 Come On, Baby, Light my SAS Viya : Programming for CAS David Shannon source 14
SGF 2018 If You Need These OBS and These VARS, Then Drop IF and Keep WHERE Jayanth Iyengar source 9
SGF 2018 Looking Beyond the Model with SAS Simulation Studio: Data Input, Collection, and Analysis Edward P. Hughes,
Emily Lada
source 20
SGF 2018 Seeing the Forest for the Trees: Part Deux of Defensive Coding by Example Nancy Brucken,
Donna E. Levy
source 10
SGF 2018 Supercharging Data Subsets in SAS Viya 3.3 Brian Bowman source 20
SGF 2018 Working with Big Data in SAS Mark L. Jordan source 13
SESUG 2017 Applying IFN and IFC Functions Jinson J. Erinjeri source 7
SESUG 2017 ETL Load performance benchmarking using different load transformations in SAS Data Integration Studio Sai S Potluri source 8
SESUG 2017 Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization Troy Martin Hughes source 25
SESUG 2017 Purrfectly Fabulous Feline Functions Louise S. Hadden source 15
SESUG 2017 Tired of CALL EXECUTE? Try DOSUBL Jueru Fan source 26
SCSUG 2017 I Didn't Know You Could Do That! Revelations from the Advanced SAS Certification Exam Patricia Hettinger source 9
SCSUG 2017 SAS Grid Job Search Performance Piyush K. Singh,
Prasoon Sangwan,
Ghiyasuddin Mohammed Faraz Khan
source 7
SCSUG 2017 Top Ten SAS Performance Tuning Techniques Kirk Paul Lafler source 12
PHUSE EU 2017 A SAS Programmer's Guide to Life on the SAS Grid Eric C. Brinsfield,
Joe Olinger
source
presentation source
12
PHUSE EU 2017 Are you Still Afraid of Using Arrays? Let's Explore their Advantages Vladyslav Khudov source
presentation source
6
PHUSE EU 2017 Catching Up: Continuous Integration Pipelines for Clinical Analysis Andrew Karpow source
presentation source
5
PHUSE EU 2017 System Macros are Useful - You Can %Bquote Me on That Melanie O'Neill source
presentation source
8
MWSUG 2017 DATA Step in SAS Viya: Essential New Features Jason Secosky 14
MWSUG 2017 Parsing Useful Data Out of Unusual Formats Using SAS Andrew T. Kuligowski 15
WUSS 2017 Automating Code Generation to Reduce Errors and Effort Steve Cavill source 14
WUSS 2017 Pinching Off Your SAS Log: Shifting the Perception of "SAS Logs" from a Post Hoc Validation Used Haplessly and Often Too Late...to a Dynamic Quality Control That Drives Exception Handling and Program Flow Troy Martin Hughes source 26
PharmaSUG 2017 Hashtag #Efficiency! An Exploration of Hash Tables and Other Techniques Lakshmi Nirmala Bavirisetty,
Kaushal Chaudhary,
Deanna Naomi Schreiber-Gregory
source 9
PharmaSUG 2017 SAS Programmer-s Guide to Life on the SAS Grid Eric C. Brinsfield source 18
PharmaSUG 2017 Visual Basic for Applications: A Solution for Handling Non-ASCII Removal and Replacement Eric Crockett source 4
SGF 2017 DATA Step in SAS Viya: Essential New Features Jason Secosky source 14
SGF 2017 Going Green With Your SAS Applications Michael A. Raithel source 17
SGF 2017 PROC DS2: What's in It for You? Viraj R Kumbhakarna source 11
SGF 2017 Quickish Performance Techniques for Biggish Data Nick Welke,
Patricia S. Aanderud
source 11
SGF 2017 Stress Testing and Supplanting the LOCK Statement: Using Mutex Semaphores for Reliable File Locking Troy Martin Hughes source 28
SCSUG 2016 Bringing the US Department of Defense from PC to the Enterprise! [presentation] Erin Stevens source 14
SCSUG 2016 Parsing Useful Data Out of Unusual Formats Using SAS Andrew T. Kuligowski source 15
SESUG 2016 A Failure To EXIST: Why Testing for Data Set Existence with the EXIST Function Alone Is Inadequate for Serious Software Development in Asynchronous, Multiuser, and Parallel Processing Environments Troy Martin Hughes source 11
SESUG 2016 Divide and Conquer - Writing Parallel SAS Code to Speed Up Your SAS Program Doug Haigh source 11
SESUG 2016 Fundamentals of the The SAS Hash Object Paul M. Dorfman source 23
SESUG 2016 If You Need These OBS and These VARS, Then Drop IF and Keep WHERE Jayanth Iyengar source 9
SESUG 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source 29
SESUG 2016 Stress Testing and Supplanting the SAS LOCK Statement: Implementing Mutex Semaphores To Provide Reliable File Locking in Multiuser Environments To Enable and Synchronize Parallel Processing Troy Martin Hughes source 27
SESUG 2016 The HPSUMMARY Procedure: A Younger (and Brawnier) Cousin to an Old SAS Friend Anh P. Kellermann,
Jeffrey D. Kromrey
source 9
SESUG 2016 Using a SAS Hash Object to Speed and Simplify the Survey Cell Collapsing Process Ahmed Al-Attar source 11
PHUSE EU 2016 Fundamental Advice to Save Time in SAS Programming Mickael Borne source
presentation source
11
PHUSE EU 2016 Reducing Build Time of Integrated Clinical Databases with SAS Grid and SAS/OR Eric C. Brinsfield source
presentation source
11
MWSUG 2016 A Failure To EXIST: Why Testing for Data Set Existence with the EXIST Function Alone Is Inadequate for Serious Software Development in Asynchronous, Multiuser, and Parallel Processing Environments Troy Martin Hughes 8
MWSUG 2016 Hashtag #Efficiency! An Introduction to Hash Tables Lakshmi Nirmala Bavirisetty,
Deanna Naomi Schreiber-Gregory,
Kaushal Chaudhary
10
MWSUG 2016 Implementing a Medicaid Claims Processing System using SAS software A Novel Implementation of BASE SAS Using Limited Resources in an Effective Manner Stephen C. DeVoyd 21
MWSUG 2016 Performing Pattern Matching by Using Perl Regular Expressions Arthur X. Li 12
MWSUG 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes 29
MWSUG 2016 Stress Testing and Supplanting the SAS LOCK Statement: Implementing Mutex Semaphores To Provide Reliable File Locking in Multiuser Environments To Enable and Synchronize Parallel Processing Troy Martin Hughes 27
MWSUG 2016 Top Ten SAS Performance Tuning Techniques Kirk Paul Lafler 10
PharmaSUG CN 2016 Hash Object Working Efficiently with Large SAS Datasets [presentation] Yazhen Wang,
Hao Xu
20
PharmaSUG CN 2016 Performing Pattern Matching by Using Perl Regular Expressions Arthur X. Li 12
WUSS 2016 Good Programming Practice [GPP] in SAS & Clinical Trials Phaneendhar Reddy Vanam,
Srinivas Vanam,
Manvitha Yennam
source 10
WUSS 2016 PROC DS2: What's in It for You? Viraj R Kumbhakarna source 11
WUSS 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source 29
WUSS 2016 Top Ten SAS Performance Tuning Techniques Kirk Paul Lafler source 9
WUSS 2016 Ushering SAS Emergency Medicine into the 21st Century: Toward Exception Handling Objectives, Actions, Outcomes, and Comms Troy Martin Hughes source 23
PharmaSUG 2016 Capturing Macro Code when Debugging in the Windows Environment: The Power of MFILE and the Simplicity of Pasting Kevin R. Viel source 10
PharmaSUG 2016 Performing Pattern Matching by Using Perl Regular Expressions Arthur X. Li source 12
PharmaSUG 2016 SAS Techniques for Managing Large Datasets Rucha Landge source 7
PharmaSUG 2016 Trivial Date Tasks? PROC FCMP Can Help Jueru Fan source 10
SGF 2016 An Insider's Guide to SAS/ACCESS Interface to Impala Jeffrey Bailey source 19
SGF 2016 Architecting Data Management: Seven Principles Using SAS, DataFlux, and SQL Bob Janka source 20
SGF 2016 Do SAS High-Performance Statistics Procedures Really Perform Highly ? A Comparison of HP and Legacy Procedures Diep T. Nguyen,
Sean Joo,
Anh P. Kellermann,
Jeffrey D. Kromrey,
Jessica Montgomery,
Patricia Rodríguez de Gil,
Yan Wang
source
presentation
10
SGF 2016 Greenspace: A Macro to Improve a SAS Data Set Footprint Brian K. Varney source 7
SGF 2016 How to Leverage the Hadoop Distributed File System as a Storage Format for the SAS Scalable Performance Data Server and SAS Scalable Performance Data Engine Steven Sober source 19
SGF 2016 Innovative Performance Improvements through Automated Flowcharts in SAS Steven J. First,
Jennifer First-Kluge
source 14
SGF 2016 Key Requirements For SAS Grid Users Piyush K. Singh,
Tanuj Gupta,
Prasoon Sangwan
source
presentation
15
SGF 2016 Metadata Statistics As an Aid for Code Review Frank Poppe,
Joris Huijser
source 13
SGF 2016 More Hidden Base SAS Features to Impress Your Colleagues Peter Crawford source 15
SGF 2016 Performance Issues and Solutions: SAS with Hadoop Anjan Matlapudi source 8
SGF 2016 Performing Pattern Matching by Using Perl Regular Expressions Arthur X. Li source
zip
12
SGF 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source
presentation
29
SGF 2016 The HPSUMMARY Procedure: An Old Friend's Younger (and Brawnier) Cousin Anh P. Kellermann,
Jeffrey D. Kromrey
source
presentation
9
SGF 2016 The Scheduler: Give Your Punch Data a New Dimension Ariel Kumpinsky source 7
SGF 2016 The Three I's of SAS Log Messages, IMPORTANT, INTERESTING, and IRRELEVANT William E. Benjamin Jr. source
zip
21
SGF 2016 Using a SAS Hash Object to Speed and Simplify the Survey Cell Collapsing Process Ahmed Al-Attar source
zip
11
SGF 2016 Who's Your Neighbor? A SAS Algorithm for Finding Nearby Zip Codes Andrew W. Clapson,
Annmarie Smith
source
zip
7
SCSUG 2015 Numeric Variable Storage Pattern Srinivas Vanam,
Rahul Baddula,
Sreekanth Reddy Middela
source 9
MWSUG 2015 Greenspace: A Macro to Improve a SAS Data Set Footprint Brian K. Varney 6
MWSUG 2015 Just passing through ... Or are you? Determine when SQL Pass-Through occurs to optimize your queries Misty Johnson 8
MWSUG 2015 Top Ten SAS Performance Tuning Techniques Kirk Paul Lafler 7
MWSUG 2015 Ushering SAS Emergency Medicine into the 21st Century: Toward Exception Handling Objectives, Actions, Outcomes, and Comms Troy Martin Hughes 23
PHUSE EU 2015 Getting the Most Out of Keys - Using Hash Components to Select, Subset or Summarise Pamela J. Giese source
presentation source
8
SESUG 2015 Date Dimensiong Christopher Johnson source 4
SESUG 2015 Greenspace: A Macro to Improve a SAS Data Set Footprint Brian K. Varney,
Experis Business Intelligence
source 6
SESUG 2015 Hash: Is it Always the Best Solution? David Izrael,
Elizabeth Axelrod
source 12
SESUG 2015 High-Performance Procedures in SAS 9.4: Comparing Performance of HP and Legacy Procedures Jessica Montgomery,
Sean Joo,
Anh P. Kellermann,
Jeffrey D. Kromrey,
Diep T. Nguyen,
Patricia Rodríguez de Gil,
Yan Wang
source 10
SESUG 2015 Using PROC SURVEYSELECT: Random Sampling Raissa Kouadjo Bordenave source 14
WUSS 2015 A Shared File System on SAS Grid Manger in a Cloud Environment Yingping Zhang,
Margaret Carver,
Gabriele Paciucci,
Steve Paper
source 10
WUSS 2015 Architecting Data Management: 7 Principles using SAS, DataFlux and SQL Bob Janka source 17
WUSS 2015 Master Macro Variables - by Examples Sophia Yue source 16
WUSS 2015 SAS Macro Programming for Beginners Lora D. Delwiche,
Susan J. Slaughter
source 12
WUSS 2015 Top Ten SAS Performance Tuning Techniques Kirk Paul Lafler source 7
WUSS 2015 You Say 'Day-ta', I Say 'Dat-a' - Measuring Coding Differences, Considering Integrity and Transferring Data Quickly Mary Federico Katz,
Jason R. Beene
source 13
PharmaSUG 2015 How to Harness Your Company-s Wiki for World Domination (or - Even Better - to Write the Best Reusable Code Possible) Kurtis Cowman source 8
PharmaSUG 2015 Sorting big datasets. Do we really need it? Daniil Shliakhov source 6
SGF 2015 A Quick View of SAS Views Elizabeth Axelrod source 7
SGF 2015 Divide and Conquer - Writing Parallel SAS Code to Speed Up Your SAS Program Doug Haigh source
zip
13
SGF 2015 Efficiently Using SAS Data Views Shigui Weng,
Shy Degrace,
Ya Jiun Tsai
source 16
SGF 2015 Helping You C What You Can Do with SAS Andrew Henrick,
Karen Croft,
Donald Erdman
source
zip
10
SGF 2015 How to Implement SAS 9.4 on an Amazon Web Services Cloud Server Instance Jeff Lehmann source 47
SGF 2015 Introduction to SAS Hash Objects Christopher W. Schacherer source 26
SGF 2015 SASTRACE: Your Key to RDBMS Empowerment Andrew Howell source 12
SGF 2015 You Say 'Day-ta', I Say 'Dat-a' - Measuring Coding Differences, Considering Integrity and Transferring Data Quickly Jason R. Beene,
Mary Federico Katz
source 14
SCSUG 2014 Survival tips for the Lone SAS programmer in an office full of stata , SPSS, and excel users Mary G. Crissey 18
SESUG 2014 A Quick View of SAS Views Elizabeth Axelrod source 7
SESUG 2014 Dashboards with SAS Visual Analytics Patricia S. Aanderud,
Michelle Homes
source 20
SESUG 2014 Interacting with SAS using Windows PowerShell ISE Mayank Nautiyal source 13
SESUG 2014 The Power of PROC APPEND Ted Logothetti source 7
SESUG 2014 Top Ten SAS Performance Tuning Techniques Top Ten source 7
PHUSE EU 2014 Big Data - Step towards High Performance Analytics Dhiraj Dabhi source
presentation source
8
MWSUG 2014 Introduction to SAS Hash Objects Christopher W. Schacherer 26
MWSUG 2014 SAS and Relational Databases: What You Should Know Before You Code Patricia Hettinger 15
MWSUG 2014 Top Ten SAS Performance Tuning Techniques Kirk Paul Lafler 7
MWSUG 2014 Using SAS Hash Objects To Cut Down Processing Time Girish K. Narayandas 9
WUSS 2014 A Hitchhiker's guide for performance assessment & benchmarking SAS applications Viraj R Kumbhakarna source 16
WUSS 2014 A Practical Approach to Process Improvement Using Parallel Processing Viraj R Kumbhakarna source 16
WUSS 2014 Advanced Multiprocessing Techniques for Performance Improvement of SAS Processes Viraj R Kumbhakarna source 17
WUSS 2014 Don't Let a Bad Date Ruin Your Day: Dealing with Invalid Dates in SAS Lucheng Shao source 9
WUSS 2014 Options in Estimating Nonlinear Mixed Models: Quadrature points and Approximation Methods Nate Smith,
Shelley A. Blozis
source 7
WUSS 2014 Reporting MDM Data Attribute Inconsistencies for the Enterprise Using DataFlux Ernesto Roco source 10
WUSS 2014 The SAS Hash Object in Action Paul M. Dorfman source 29
WUSS 2014 The Three I's of SAS Log Messages, IMPORTANT, INTERESTING, and IRRELEVANT William E. Benjamin Jr. source 20
WUSS 2014 You Say 'Day-ta', I Say 'Dat-a' - Processing Your DATA Efficiently and Ensuring Its Integrity Mary Federico Katz,
Jason R. Beene
source 12
PharmaSUG 2014 Efficient SQL for Pharma ... and Other Industries Christopher R. Olinger source 15
PharmaSUG 2014 Indexing: A powerful technique for improving efficiency Arun Raj Vidhyadharan,
Sunil Mohan Jairath
source 9
PharmaSUG 2014 The Three I's of SAS Log Messages, IMPORTANT, INTERESTING, and IRRELEVANT William E. Benjamin Jr. source 20
PharmaSUG 2014 Using the Power of SAS SQL Jessica Wang source 14
SGF 2014 Generate Cloned Output with a Loop or Splitter Transformation Liotus Laura source 12
SGF 2014 New Features in SAS/OR 13.1 Edward P. Hughes,
Robert C. Pratt
source 15
SGF 2014 PROC TABULATE: Extending This Powerful Tool Beyond Its Limitations Justin Jia,
Amanda Lin
source 11
SGF 2014 SAS Admins Need a Dashboard, Too Patricia S. Aanderud,
Michelle Homes
source 20
SGF 2014 The Traveling Baseball Fan Problem and the OPTMODEL Procedure Tonya Chapman,
Matthew V. Galati,
Robert C. Pratt
source 27
SGF 2014 Tips to Use Character String Functions in Record Lookup Anjan Matlapudi source 12
SGF 2014 Using Sorting Algorithms to Create Sorted Lists Matthew Neft,
Chelle Pronko
source 5
WUSS 2013 Competing risks regression: Big Data issues from modest sample sizes Katharine Kirby,
Deborah Barnes,
W. John Boscardin
source 4
WUSS 2013 Flexibility by Design: A Look at New and Updated System Options in SAS 9.4 Jan Squillace source 16
WUSS 2013 Hasing in PROC FCMP to Enhance Your Productivity Andrew Henrick,
Donald Erdman,
Stacey M. Christian
source 15
SCSUG 2013 Big Data, Fast Processing Speeds Gary Ciampa source 16
SCSUG 2013 Introduction to SAS Hash Objects Christopher W. Schacherer source 26
SCSUG 2013 One problem - Multiple solutions; various ways of removing duplicates from dataset using SAS Jaya Dhillon source 6
SESUG 2013 5 Simple Steps to Improve the Performance of your Clinical Trials Table Programs using Base SAS Software Sally Walczak source 12
SESUG 2013 A Hitchhiker's guide for performance assessment & benchmarking SAS applications Viraj R Kumbhakarna source 16
SESUG 2013 A Practical Approach to Process Improvement Using Parallel Processing Viraj R Kumbhakarna source 16
SESUG 2013 Case Study: Migrating an Existing SAS Process to Run on the SAS Intelligence Platform Intelligence Platform source 9
SESUG 2013 Know Thy Data: Techniques for Data Exploration Andrew T. Kuligowski source 20
SESUG 2013 Parallel processing techniques for performance improvement for SAS processes: Part II Viraj R Kumbhakarna source 17
PHUSE EU 2013 My Big Data Experience - Getting my Feet Wet in the PUddle and Still Treading Water 2 Years Later Robert Walls source
presentation source
10
MWSUG 2013 A Better Way to Flip (Transpose) a SAS Data Set Arthur S. Tabachneck,
Xia Ke Shan,
Robert Virgile,
Joe Whitehurst
22
MWSUG 2013 Advanced Multithreading Techniques for Performance Improvement of SAS Processes Viraj R Kumbhakarna 17
MWSUG 2013 Big Data, Fast Processing Speeds Kevin McGowan 16
MWSUG 2013 Increase Your Productivity by Doing Less Arthur S. Tabachneck,
Xia Ke Shan,
Robert Virgile,
Joe Whitehurst
6
MWSUG 2013 Know Thy Data: Techniques for Data Exploration Andrew T. Kuligowski,
Charu Shankar
20
MWSUG 2013 Optimize Your Delete Brad Richardson 7
NESUG 2013 A Quick View of SAS Views Elizabeth Axelrod 7
NESUG 2013 Alternative Methods for Sorting Large Files without Leaving a Big Disk Space Footprint Rita Volya 23
NESUG 2013 Big Data, Fast Processing Speeds Gary Ciampa presentation 17
PharmaSUG 2013 Bayesian Analysis of Survival Data with SAS PHREG Procedure Ryan Brady source 8
PharmaSUG 2013 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 18
SGF 2013 A Better Way to Flip (Transpose) a SAS Data Set Arthur S. Tabachneck,
Joe Whitehurst,
Robert Virgile,
Xia Ke Shan
source 21
SGF 2013 Benchmarking SAS I/O: Verifying I/O Performance Using fio Spencer Hayes source 7
SGF 2013 Big Data, Fast Processing Speeds Kevin McGowan source 17
SGF 2013 Cool Views Elizabeth Axelrod source 7
SGF 2013 Data Set Compression Using COMPRESS= Srinivas Busi Reddy,
Srikar Rayabaram,
Musthan Meeran Mohideen
source
pdf
4
SGF 2013 Do Not Let a Bad Date Ruin Your Day Lucheng Shao source 9
SGF 2013 Hashing in PROC FCMP to Enhance Your Productivity Andrew Henrick,
Donald Erdman,
Stacey M. Christian
source 15
SGF 2013 Increase Your Productivity by Doing Less Arthur S. Tabachneck,
Joe Whitehurst,
Robert Virgile,
Xia Ke Shan
source 5
SGF 2013 Know Thy Data: Techniques for Data Exploration Andrew T. Kuligowski,
Charu Shankar
source 19
SGF 2013 Need for Speed - Boost Performance in Data Processing with SAS/Access Interface to Oracle Svein Erik Vralstad source 12
SGF 2013 Nifty Tips For Data Change Tracking Julie A. Kilburn,
Rebecca Ottesen
source 7
SGF 2013 Optimize Your Delete Brad Richardson source 7
SGF 2013 Using Mail Functionality in SAS Erik W. Tilanus source 14
SGF 2013 Working with a Large Pharmacy Database: Hash and Conquer David Izrael source
pdf
7
SGF 2013 Writing a Useful Groovy Program When All You Know about Groovy Is How to Spell It Jack Hamilton source 11
NESUG 2012 Condensed and Sparse Indexes for Sorted SAS Datasets Mark Keintz 16
NESUG 2012 Top Ten SAS Performance Tuning Techniques Kirk Paul Lafler 7
NESUG 2012 Using FORMATs Where SQL Won't Do James Zeitler 10
SCSUG 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 18
MWSUG 2012 Calling a Remote Macro Using %INCLUDE or a Stored Macro Facility Tony Reeves 13
MWSUG 2012 Essential SAS Coding Techniques for Gaining Efficiency Kirk Paul Lafler 7
MWSUG 2012 Parsing Useful Data Out of Unusual Formats Using SAS Andrew T. Kuligowski 15
MWSUG 2012 Swimming with Sharks: Using Formats with Summary Data Tom Bugg 8
MWSUG 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt 18
MWSUG 2012 Top Ten SAS Performance Tuning Techniques Kirk Paul Lafler 7
MWSUG 2012 Why and How To Use SAS Macro Language: Easy Ways To Get More Value and Power from Your SAS Software Tools LeRoy Bessler 24
WUSS 2012 SAS In-Database Procedures on eBay's Teradata System Reduces Processing Time by a Factor of 4 Arun Akkinapalli,
Mithun Yarlagadda,
Gurudev Karanth,
John Prenner
source 11
WUSS 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt,
Lucheng Shao
source 18
WUSS 2012 Updating Reporting Data Sets for Recent Changes Rebecca Ottesen,
Julie A. Kilburn
source 6
PharmaSUG 2012 A Hitchhiker's guide for performance assessment & benchmarking SAS applications Viraj R Kumbhakarna,
Anurag Katare
source 16
PharmaSUG 2012 Merge vs. Join vs. Hash Objects: A Comparison using "Big" Medical Device Data James R. Johnson source 6
PharmaSUG 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 18
SGF 2012 A Hitchhiker's Guide for Performance Assessment and Benchmarking SAS Applications Viraj R Kumbhakarna,
Anurag Katare
source 17
SGF 2012 Logging 101: Leveraging the SAS 9.3 Enhanced Logging Facility Margaret A. Crevar source 8
SGF 2012 Practice on the SAS Scalable Performance Data Server Configuration for Maximum Performance Danni Luo,
David Bianchi,
Stephen Bogacz,
Greg Dorfner
source 7
SGF 2012 PROC FORMAT, a Speedy Alternative to Sort/Sort/Merge Jenine Milum source 5
SGF 2012 The DOW Loop: A Smarter Approach to Your Existing Code Fuad J. Foty source 12
SGF 2012 The Traveling Salesman Problem: Optimizing Delivery Routes Using Genetic Algorithms Sabah Sadiq source 6
SGF 2012 Top Ten SAS Performance Tuning Techniques Kirk Paul Lafler source 7
SGF 2012 Using SAS to Move Data between Servers John E. Bentley source 14
SCSUG 2011 Tracking and Reporting Account Referral Activity using Hash tables and SAS BI James L. Beaver,
Tobin E. Scroggins
source 9
SESUG 2011 Condensed and Sparse Indexes for Sorted SAS Datasets Mark Keintz source 16
SESUG 2011 Creating a Stored Macro Facility in 10 Minutes Erik S. Larsen source 3
SESUG 2011 PROC FORMAT, a Speedy Alternative to Sort/Sort/Merge Jenine Milum source 5
WUSS 2011 Efficient Techniques and Tips in Handling Large Datasets Jason Shilong Kuang source 5
WUSS 2011 Sam and Max's Adventure in SAS Macro Land. (Quick and Easy tips for Macro programming) Maxwell Wise,
Seunghee Chung
source 8
WUSS 2011 SAS Macro Programming for Beginners Susan J. Slaughter source 12
WUSS 2011 Using PROC SQL to Calculate FIRSTOBS David Tabano source 11
PHUSE EU 2011 Considerations for improving program performance Martin Gregory source 7
PHUSE EU 2011 Missing Values in SAS Magnus Mengelbier source
presentation source
11
MWSUG 2011 A Hitchhiker's guide for performance assessment & benchmarking SAS applications Viraj R Kumbhakarna,
Anurag Katare
16
MWSUG 2011 A Practical Approach to Process Improvement Using Parallel Processing Viraj R Kumbhakarna 16
MWSUG 2011 SAS Macro: Symbols of Frustration? %Let us help! A Guide to Debugging Macros Kevin Payton Delaney,
Arthur L. Carpenter
21
MWSUG 2011 The Essentials of SAS Dates and Times Derek P. Morgan 16
NESUG 2011 A View Toward Performance Edward Heaton 8
NESUG 2011 PROC FORMAT - Not Just Another Pretty Face Lois Levin 13
NESUG 2011 Techniques for Reading DB2 Data Steven H. Feder 15
NESUG 2011 Tips to Use Character String Functions in Record Lookup Anjan Matlapudi 12
NESUG 2011 What a View! Matthew Cohen 6
NESUG 2011 Why Programming Efficiency Should Matter to All of Us John J. Cohen 15
PharmaSUG 2011 A Practical Approach to Process Improvement Using Parallel Processing Viraj R Kumbhakarna source 16
SGF 2011 Best Solutions for Tuning Performance of ETL Jobs in SAS Data Integration Studio Qingfeng Liang source 10
SGF 2011 Conditional Processing without Macros John F. Ladds source 5
SGF 2011 Data Integration Monitor Bart Heinsius source 10
SGF 2011 Don't Waste Too Many Resources to Get Your Data in a Specific Sequence Henri Theuwissen source 19
SGF 2011 Efficient Merging: Creating Format Libraries to Save CPU Time Tyler Benz source 9
SGF 2011 Five Ways to Speed Up Your Data Loading Using SAS/ACCESS for Relational Databases Douglas B. Liming source 6
SGF 2011 Numeric Length in SAS: A Case Study in Decision Making Paul Gorrell source 12
SGF 2011 Performance Benchmark with SAS 8.2, SAS 9.1.3, and SAS 9.2 on UNIX SPARC Architectures Edmond Cheng source 7
SGF 2011 PROC PANEL Vs. A FAST ALGORITHM FOR ESTIMATION OF UNBALANCED PANEL DATA MODELS WITH TWO FIXED EFFECTS Alan Ricardo da Silva,
Mariana Fernandes Teixeira,
Thaís Helena Fernandes Teixeira
source 12
SGF 2011 SAS Macro Programming for Beginners Susan J. Slaughter,
Lora D. Delwiche
source 12
SGF 2011 Setting Up a Different Windows Environment for Each SAS Project Philip A. Wright,
Alan K. Churchill
source 8
SGF 2011 Storage Space and Processing Time Comparisons between Horizontal and Vertical Longitudinal Data John C. Hennessey source 10
SGF 2011 Subsetting Large Data Sets Created via the Complex WHERE Clause Mikhail Gruzdev,
Allen J. Blackburn
source 5
SGF 2011 Teradata Parallel Transporter: Loading Your SAS Data Just Became Easier Jeffrey Bailey source 16
SGF 2011 Tick-Tock, Watch the Clock: How Long Will This Take to Run? (or Making SAS Information Maps and SAS Web Report Studio Projects More Efficient) Fazal Davood,
Susan M. Jumper
source 12
SGF 2011 To Hash or Not To Hash! That Is the Question!! When it Comes to SQL!!! Mustaq Ahmad source 12
SGF 2011 Using SAS to Move Data between Servers John E. Bentley source 12
NESUG 2010 A Benchmarking Technique to Identify Best Practices in SAS Tony Pisegna 14
NESUG 2010 A Practical Approach to Process Improvement Using Parallel Processing Viraj R Kumbhakarna 16
NESUG 2010 A View Toward Performance Edward Heaton 8
NESUG 2010 Acquisition and Management of Market Data for SAS Risk Dimensions Shankar Yaddanapudi 8
NESUG 2010 Black Belt Hashigana Paul M. Dorfman,
Marina Fridman
29
NESUG 2010 Condensed and Sparse Indexes for Sorted SAS Datasets Mark Keintz 16
NESUG 2010 Find() the power of Hash - How, Why and When to use the SAS Hash Object John Blackwell 5
NESUG 2010 SAS System Options: The True Heroes of Macro Debugging Kevin Russell,
Russ Tyndall
12
NESUG 2010 Tick-Tock, Watch the Clock: How Long Will This Take to Run? (aka. Making Information Maps and Web Report Studio Projects More Efficient) Fazal Davood,
Susan M. Jumper
12
SCSUG 2010 SAS and Relational Databases: What You Must Know Patricia Hettinger source 18
WUSS 2010 Pros and Cons of Interactive SAS Mode vs. Batch Mode Irina Walsh source 9
WUSS 2010 SAS Arrays, Both Implicit and Explicit Carter Sevick source 9
WUSS 2010 Tips for Constructing a Data Warehouse Part 1 Curtis A. Smith source 12
WUSS 2010 Tips for Constructing a Data Warehouse Part 2 Curtis A. Smith source 11
WUSS 2010 Working with SAS Hash Objects: Automation, Tips and Pitfalls Jason Farris source 7
PHUSE EU 2010 EG as an IDE, how PC is that? [presentation] John Moone source 28
PHUSE EU 2010 Working Efficiently with Large SAS Datasets Vishal Jain source
presentation source
8
MWSUG 2010 SAS System Options: The True Heroes of Macro Debugging Kevin Russell,
Russ Tyndall
12
MWSUG 2010 SAS Views - The Best of Both Worlds David Thul 6
MWSUG 2010 Setting Up Project-specific SAS Windows Environments Philip A. Wright 6
MWSUG 2010 Supporting Users, Software, and a BI Server: Using SAS to Support SAS LeRoy Bessler 38
MWSUG 2010 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt 17
SESUG 2010 A View Toward Performance Edward Heaton source 4
SESUG 2010 Application Dispatcher: Some Tweaks and Tricks Carol A. Martell source 7
SESUG 2010 Merging into Hash: Some Practical Examples of Converting MERGE Statements into Hash Objects Ying Liu source 23
SESUG 2010 Tips and Tricks Of Efficient SAS Programming for SDTM Data Eric Qi,
Fikret Karahoda
source 6
SESUG 2010 Using Linux Shell Commands, vi Editor, and Base SAS to Parse through Log Files and Gather Log-information Fuad J. Foty source 17
PharmaSUG 2010 Accessing the metadata from the define.xml using XSLT transformations Lex Jansen 70
SGF 2010 A Macro to Create a Batch Submit SAS Program Helen C. Sun,
Cindy Wong
source 5
SGF 2010 Black Belt Hashigana Paul M. Dorfman,
Koen Vyverman,
Victor P. Dorfman
source 29
SGF 2010 Blistering ETL Performance Using the Intelligent, Dynamic, and Parallel Capabilities of SAS David Logan source 8
SGF 2010 Efficient Statistical Programming? Reducing SAS Run Time with WHERE Setup Keiko I. Powers source 4
SGF 2010 Faster Results by Multi-threading DATA Steps Ian J. Ghent source 7
SGF 2010 Getting Connected to Your Data with SAS/CONNECT Greg J. McLean,
Vecdet Mehmet-Ali
source 9
SGF 2010 More Ways to Use SAS to Manage, Monitor, and Control SAS and the SAS BI Server: Tools for the SAS User, Server Administrator, or Manager LeRoy Bessler source 19
SGF 2010 Purrfectly Fabulous Feline Functions Louise S. Hadden source 15
SGF 2010 SAS Arrays, Both Implicit and Explicit Carter Sevick source 9
SGF 2010 SAS System Options: The True Heroes of Macro Debugging Kevin Russell,
Russ Tyndall
source 12
SGF 2010 So Many Variables, Too Many Labels: Moving Labels from One Variable to Another John F. Ladds source 11
SGF 2010 Staying Highly Available Using SAS Grid Manager: The Performance Manager Application at Commerzbank AG Cheryl Doninger,
Jochen Kirsten
source 15
SGF 2010 Using the Descriptor Portion of a SAS Data File Dragos D. Capan source 6
SGF 2010 Using the External Filename to Create File Date Variables Peter Cerussi source 11
SCSUG 2009 Dear Ms. SAS Answers: A Guide to Efficient PROC SQL Coding Linda T. Jolley,
Jane Stroupe
14
SCSUG 2009 SAS Programming Basics Clarence W. Jackson 10
SESUG 2009 A Macro to Unravel Macros Sarah Woodruff source 8
SESUG 2009 An Approach to Creating Archives That Minimizes Storage Requirements Ruben Chiflikyan source 9
SESUG 2009 No More Blue Screens - Running SAS on Windows Servers Joanne Ellwood source 3
SESUG 2009 The SAS Hash Object in Action Paul M. Dorfman source 30
SESUG 2009 Using Formats, MP Connect, and Other SAS Efficiency Techniques to save Time and Disk Space John Charles Gober,
Arumugam Sutha
source 6
PHUSE EU 2009 Can I CALL EXECUTE here? Vinod Kaippillil Mukundapra source 4
PHUSE EU 2009 Validate it Again?! Get SAS to do it! Carol Matthews,
Ginger Lewis
source 14
MWSUG 2009 No More Blue Screens - Running SAS on Windows Servers Joanne Ellwood 3
MWSUG 2009 SAS Macro: Symbols of Frustration? %Let us help! A Guide to Debugging Macros Kevin Payton Delaney,
Arthur L. Carpenter
20
MWSUG 2009 SAS Performance Tuning Strategies and Techniques Kirk Paul Lafler 6
MWSUG 2009 Table Lookups: From IF-THEN to Key-Indexing Arthur L. Carpenter 10
MWSUG 2009 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt 17
NESUG 2009 A PROC SQL+Data Step Alternative to the Hash Object for Creating Multiple, Data-Driven Data Sets Michael S. Zdeb 6
NESUG 2009 Choosing the Right Technique to Merge Large Data Sets Efficiently Qingfeng Liang 9
NESUG 2009 Don't Despair, You Do Have An Option! Wei (Lisa) Lin,
Jiannan Kang
13
NESUG 2009 Parsing Useful Data Out of Unusual Formats Using SAS Andrew T. Kuligowski 15
NESUG 2009 Purrfectly Fabulous Feline Functions Louise S. Hadden 12
NESUG 2009 Running SAS on Windows Servers in Research Environment Joanne Ellwood 4
NESUG 2009 Searching for Variable Values with CAT Functions: An Alternative to Arrays and Loops Michael S. Zdeb 9
NESUG 2009 Simultaneous Migration of SAS Software Versions and Hardware Platforms Duggan Collier 13
NESUG 2009 The Dirty Secret Behind the Box: Why Programming Efficiency Should Matter to All of Us John J. Cohen 9
NESUG 2009 The SAS Hash Object in Action Paul M. Dorfman,
Marina Fridman,
Koen Vyverman
26
NESUG 2009 Using SAS Catalogs to Develop and Manage a SAS Project David D. Chapman 11
WUSS 2009 Fast Solution for Identifying and Quantifying Gaps in Messy Time Segments Lorne M. Salter source 7
WUSS 2009 PROC FORMAT, a Speedy Alternative to Sort/Sort/Merge Jenine Milum source 5
PharmaSUG 2009 Managing very large EXCEL files using the XLS engine John H. Adams,
Boehringer Ingelheim
12
SGF 2009 A Faster Index for Sorted SAS Datasets Mark Keintz source 9
SGF 2009 Choosing the Right Technique to Merge Large Data Sets Efficiently Qingfeng Liang source 9
SGF 2009 Combining Pieces and Parts to Create a Comprehensive Program Gary M. McQuown,
John Zheng
source 12
SGF 2009 Effectiveness and Cost of SAS Compression Hitesh Sharma source 9
SGF 2009 Formats, MP/Connect, and Other Efficiency Techniques to Save Time and Space John Charles Gober,
Arumugam Sutha
source 6
SGF 2009 Interrogate the Interrogator: Presenting SAS Usage Information Using BI Tools Emilio J. Power,
Shawn Edney
source 8
SGF 2009 PROC FORMAT, a Speedy Alternative to Sort/Sort/Merge Jenine Milum source 5
SGF 2009 Running SAS on Windows 32-Bit Systems: Ceilings, Limitations, and Realities Tony Brown,
Margaret A. Crevar
source 7
SGF 2009 SAS Macros Toolkit for Graphical Representation of Complex Data Ashok K. Chaurasia source 12
SGF 2009 The Essentials of SAS Dates and Times Derek P. Morgan source 16
SGF 2009 The Perils of End-of-File Processing When Subsetting Data Leonard E. Landry source 7
SGF 2009 The SAS Hash Object in Action Paul M. Dorfman,
Koen Vyverman
source 26
SGF 2009 Troubleshoot Your Performance Issues: SAS Technical Support Shows You How Michael Williams,
Gretel Easter,
Steve Bradsher
source 12
SGF 2009 Using SAS to Manage, Monitor, and Control the SAS BI Server: User-Developed Custom Tools for the SAS Server Administrator, User, or Manager LeRoy Bessler source 9
SGF 2009 You Need to Consolidate Massive Amounts of Data? Select the Fastest Method or Go for Minimal Memory Requirements to Build Your Result Henri Theuwissen source 14
WUSS 2008 Efficient Statistical Programming? - Let's Work on Those Data Steps First Keiko I. Powers source 4
WUSS 2008 Generating Code with PROC REPORT Jack Hamilton source 8
WUSS 2008 The Essentials of Finding the Distinct, Unique, and Duplicate Values in Your Data Carter Sevick source 8
SESUG 2008 Evaluating Sample Code for an Interview Stephanie R. Thompson source 6
SESUG 2008 SAS Hash Objects: An Efficient Table Look-Up in the Decision Tree Ying Liu source 15
SESUG 2008 Smoke and Mirrors!!! Come See How the _INFILE_ Automatic Variable and SHAREBUFFERS Infile Option Can Speed Up Your Flat File Text-Processing Throughput Speed William E. Benjamin Jr. source 8
SESUG 2008 Using SAS to Parse External Data Andrew T. Kuligowski source 14
MWSUG 2008 Exploring Efficient Ways to Collapse Variables Yubo Gao 5
NESUG 2008 A Faster Index for Sorted SAS Datasets Mark Keintz 11
NESUG 2008 Benchmarking Tool for Hardware resources Sreekanth Reddy Middela,
Venkata S. Bhamidipati
6
NESUG 2008 Purrfectly Fabulous Feline Functions Louise S. Hadden 11
NESUG 2008 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt 18
NESUG 2008 Using Array, Formats and Macros to Unbundle Medicaid Fraud John Zheng,
Gary M. McQuown
12
NESUG 2008 Using SAS to Parse External Data Andrew T. Kuligowski 14
PharmaSUG 2008 Join, Merge or Lookup? Expanding your toolkit Judy Loren,
Sandeep Gaudana
16
PharmaSUG 2008 Smoke and Mirrors!!! Come See How the _INFILE_ Automatic Variable and SHAREBUFFERS Infile Option Can Speed Up Your Flat File Text-Processing Throughput Speed William E. Benjamin Jr. 8
PharmaSUG 2008 Validating CDISC SDTM-Compliant Submission-Ready Clinical Datasets with an In-House SAS Macro-Based Solution Bhavin Busa,
Sheila Vince,
Jameelah Aziz
12
PharmaSUG 2008 When PROC APPEND May Make More Sense Than the DATA Step David W. Carr 6
SGF 2008 %HASHMERGE - A Macro to Hash When It Can, Merge When It Can't Gregg P. Snell source 12
SGF 2008 Computational Algorithm for Estimation of Panel Data Models with Two Fixed Effects Alan Ricardo da Silva,
Patrick F. Alves
source 10
SGF 2008 Creating a Stored Macro Facility in Ten Minutes Erik S. Larsen source 3
SGF 2008 Evaluating Sample Code for an Interview Stephanie R. Thompson source 6
SGF 2008 Many-to-Many Merges in the DATA Step Edward Heaton source 9
SGF 2008 SAS Performance Monitoring: A Deeper Discussion Tony Brown source 25
SGF 2008 Save Time! Merge SAS Files to Themselves Ann White,
Sally Williams
source 5
SGF 2008 Smoke and Mirrors!!! Come See How the _INFILE_ Automatic Variable and SHAREBUFFERS Infile Option Can Speed Up Your Flat File Text-Processing Throughput Speed William E. Benjamin Jr. source 10
SGF 2008 The Essentials of SAS Dates and Times Derek P. Morgan source 14
SGF 2008 Using SAS to Parse External Data Andrew T. Kuligowski source 14
SGF 2008 When PROC APPEND May Make More Sense Than the DATA Step David W. Carr source 6
NESUG 2007 Creating a Stored Macro Facility in 10 Minutes Erik S. Larsen 3
NESUG 2007 Does Your Application Have a Performance Problem? Put It in a SAS Pipe and Smoke It! (An Introduction to SAS Pipes) Robert L. Russell 11
NESUG 2007 Evaluating Sample Code for an Interview Stephanie R. Thompson 7
NESUG 2007 Numeric Length: Concepts and Consequences Paul Gorrell 11
NESUG 2007 Outperforming SAS Indices for Sorted Datasets Mark Keintz,
Shuguang Zhang
8
NESUG 2007 SAS Indexes: Faster Processing of Large Categorical Databases Like BRFSS Prashant Mittal 8
NESUG 2007 The LIBNAME Engine Compared to SQL Pass-Through Steven H. Feder 4
NESUG 2007 When Your PROC SQL and Oracle Joins Are Crushed by Data Monsters... Houliang Li 17
SESUG 2007 Creating a Stored Macro Facility in 10 Minutes Erik S. Larsen source 3
SESUG 2007 Improving Efficiency using the "Virtual Merge" Steve Sanders source 3
SESUG 2007 Old But Not Obsolete: Undocumented SAS Procedures Barbara B. Okerson source 8
SESUG 2007 SAS/MACRO NOTES: Lines and Columns in the Log Paul D. Sherman source 11
MWSUG 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga 20
MWSUG 2007 Table Lookups...You Want Performance? Rob Rohrbough 11
WUSS 2007 A Simple Way to Create a Running Total David Fickbohm source 7
WUSS 2007 Writing a "lean and mean" PROC MEANS: CLASS vs. BY and OUTPUT vs. ODS OUTPUT Eric P. Elkin source 3
PHUSE EU 2007 Comparison of different ways using table lookups on huge tables Ralf Minkenberg source 6
PHUSE EU 2007 Improving maintenance and performance of SQL queries Bas van Bakel,
Rick Pagie
source 5
SCSUG 2007 Efficiencies of Using Count Data Rather than Raw Data in Regression Steve Fleming 10
SCSUG 2007 PROC REPORT: Doin' It in STYLE! Ray Pass,
Sandy McNeill
15
PharmaSUG 2007 Basic Defensive Programming Techniques Baoxian Lan,
Daniel Tsui
11
PharmaSUG 2007 SAS Macro: Symbols of Frustration? %Let us help! A Guide to Debugging Macros Arthur L. Carpenter 20
SGF 2007 A Generic Method of Parallel Processing in Base SAS 8 and 9 Sassoon Kosian source 8
SGF 2007 A Simple Chargeback System for SAS Applications Running on UNIX and Linux Servers Michael A. Raithel source 17
SGF 2007 Customer Case Study: The Evolution of Financial Risk Analytics at EnCana Gord Anderson,
Mark Perrin
source 15
SGF 2007 Dear Miss SASAnswers: A Guide to SAS Efficiency Linda T. Jolley,
Jane Stroupe
source 8
SGF 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga source 20
SGF 2007 Process Your SAS Data Sets Anyway, Anyhow, Anywhere: You Choose with SAS/CONNECT Michael A. Raithel source 16
SGF 2007 Speed It Up - Active Warehousing with SAS Data Integration: From Batch to Real-Time Eric Hunley,
Gary Mehler,
Nancy A. Rausch
source 16
SGF 2007 Two Heads Are Better Than One - Getting the Most Out of Multiprocessing Faisal Dosani source 8
PNWSUG 2006 Modifying The LogParse PassInfo Macro to Provide a Link between Product Usage in Rtrace Log and Time Used in Job Log Ronald J. Fehd 10
MWSUG 2006 Avoiding Blind Dates with SAS Derek P. Morgan 14
MWSUG 2006 Modifying the LogParse PassInfo Macro Ronald J. Fehd 11
SCSUG 2006 Flattening Dependent Tables from Relational Databases for Use in SAS Processing David Welch 34
PHUSE EU 2006 Adding (p-) Value to Tables -- a Programmer''s Perspective Kathryn Wright source 10
SESUG 2006 Data Step Interfaces with the Macro Facility Toby Dunn source 17
SESUG 2006 Modifying The LogParse PassInfo Macro to Provide a Link between Product Usage in Rtrace Log and Time Used in Job Log Ronald J. Fehd source 11
SESUG 2006 PROC FORMAT, a Speedy Alternative to Sort/Sort/Merge Jenine Milum source 5
SESUG 2006 Stars and Models: How to Build and Maintain Star Schemas Using SAS Data Integration Server in SAS9 Nancy A. Rausch source 24
SESUG 2006 When PROC SQL Is Overwhelmed How to Use the SyncJoin Algorithm to Match Millions of Records Fast Houliang Li source 16
WUSS 2006 SAS/MACRO NOTES: Lines and Columns in the Log Paul D. Sherman source 11
NESUG 2006 A Hash Alternative to the PROC SQL Left Join Kenneth W. Borowiak 9
NESUG 2006 How to Reduce the Disk Space Required by a SAS Dataset Selvaratnam Sridharma 16
NESUG 2006 Modifying the LogParse PassInfo Macro Ronald J. Fehd 11
NESUG 2006 Multi-Threaded Reads in SAS/Access for Relational Databases Sarah Whittier,
Panayiotis Manolakos
7
NESUG 2006 Need a Speedy Index? RAM It! Lessia S. Shajenko,
Paul M. Dorfman
14
NESUG 2006 Performance Boosters: Streamlining Report Production from Days to Hours Jim Fang,
Patrick Dunleavy,
Vinod Narayanan,
Anuj Sharma
9
NESUG 2006 Subsetting Observations from Large SAS Data Sets Christopher J. Bost 6
NESUG 2006 The Most Useful New Parts of SAS 9 Philip A. Mason 22
NESUG 2006 The National Occupational Respiratory Mortality System: Deployment of SAS/IntrNet Application Dispatcher Queries Using SAS Component Language (SCL) Macros John Wood 10
NESUG 2006 Using the ORACLE LIBNAME Engine to Reduce the Time it Takes to Extract Data From an ORACLE Database David D. Chapman 13
PharmaSUG 2006 A Comparison Between SQL and Data Step and Some SAS Procedures LaTonya Murphy 6
PharmaSUG 2006 PROC REPORT: Doin' It in STYLE! Ray Pass,
Sandy McNeill
13
SUGI 2006 Compass Rose in Stock Markets: The Power of SASECRSP LIBNAME Taras Zlupko source 7
SUGI 2006 Crafting Your Own Index: Why, When, How Paul M. Dorfman,
Lessia S. Shajenko
source 14
SUGI 2006 DIGITS and DATES - The SQL Procedure Goes "Loopy" Jack Hamilton source 11
SUGI 2006 Grid Computing with SAS - A Developer's Perspective Greg J. McLean source 10
SUGI 2006 PROC REPORT - Doing It with STYLE! Ray Pass,
Sandy McNeill
source 15
SUGI 2006 Reading Compressed Text Files Using SAS Software Jaime L. Llano source 10
SUGI 2006 Stars and Models - How to Build and Maintain Star Schemas Using SAS ETL Server Nancy A. Rausch source 24
SUGI 2006 Think FAST! Use Memory Tables (Hashing) for Faster Merging Gregg P. Snell source 15
SUGI 2006 Using Data Set Options in PROC SQL Kenneth W. Borowiak source 10
PNWSUG 2005 A Sort of a Mess - Sorting Large Datasets on Multiple Keys David L. Cassell 4
PNWSUG 2005 Table Lookups: From IF-THEN to Key-Indexing Arthur L. Carpenter 10
SESUG 2005 Once Again on Efficiency and Base SAS Milorad Stojanovic source 6
SESUG 2005 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 17
SESUG 2005 The SQL Optimizer Project: _Method and _Tree in SAS 9.1 Russell M. Lavery source 57
SESUG 2005 Tuning SAS 9 for Multiuser ETL Environments Frank M. Bartucca source 12
SCSUG 2005 Join, Merge or Lookup? Expanding your toolkit Judy Loren,
Sandeep Gaudana
15
SCSUG 2005 MP CONNECT: Warp Engine for SAS (Multi-Processing in the Sun Solaris Environment) Pablo J. Nogueras 14
SCSUG 2005 Nesting SAS Macros Marsha Weston 23
PHUSE EU 2005 The SAS Data Step/Macro Interface Lawrence Heaton-Wright source 9
WUSS 2005 Looking into Oracle with SAS: Designing a simple SAS Windows interface for an Oracle Database. Allison Mercer source 9
WUSS 2005 To Merge or Not to Merge Helen Davis,
Kathy Gates
source 5
NESUG 2005 Crafting Your Own Index: Why, When, How Paul M. Dorfman,
Lessia S. Shajenko
10
NESUG 2005 PROC SURVEYSELECT: A Simply Serpentine Solution for Complex Sample Designs Louise S. Hadden 8
NESUG 2005 SAS BI on Steroids Florio Arguillas,
Kevin Huddleston
9
NESUG 2005 SAS Tips & Techniques from SAS 9 Philip A. Mason 8
NESUG 2005 Using the Oracle LIBNAME Engine and Oracle Hints to Reduce the Time it Takes to Extract Data from an Oracle Database David D. Chapman,
Selva Sridharma
13
SUGI 2005 Achieving Optimal I/O Performance with SAS9 Frank M. Bartucca,
Edward Hayes-Hall
source 11
SUGI 2005 Efficiency Considerations Using the SAS System Richard D. Langston source 12
SUGI 2005 PROC FORMAT - Not Just Another Pretty Face Lois Levin source 12
SUGI 2005 PROC FORMAT, a Speedy Alternative to Sort/Sort/Merge Jenine Eason source 5
SUGI 2005 The Basics of Using SAS Indexes Michael A. Raithel source 9
SUGI 2005 The Rolling Stones Were Right (Time Is on Our Side): An Application of SAS Multiprocessing Trang X. Lance source 11
SUGI 2005 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 17
SUGI 2005 The SQL Optimizer Project: _Method and _Tree in SAS 9.1 (broken file) Russell M. Lavery source 57
NESUG 2004 Disk Space Management Topics for SAS in the Solaris Operating Environment Adeline J. Wilcox 9
NESUG 2004 PROC FORMAT - Not Just Another Pretty Face Lois Levin 11
SCSUG 2004 Data Mining and the Use of SAS to Deploy Scoring Rules Neil S. Fleming 13
SESUG 2004 Creating and Exploiting SAS Indexes Michael A. Raithel source 9
SESUG 2004 Fresh SAS Programming Tunes from Hashville Paul M. Dorfman,
Alexander A. Martchenko
source 17
SESUG 2004 Methods of Storing SAS Data into Oracle Tables Lois Levin source 9
SESUG 2004 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 17
SESUG 2004 What's That Note/Warning/Error Mean and How Do I Fix It? Deb Cassidy source 10
WUSS 2004 Creating Efficient SQL - Four Steps to a Quick Query Paul D. Sherman source 8
WUSS 2004 Efficiency of Merging Many Single Column Data Sets to a Many Column and Many Row Prospect Data Set Brian Mayeux source 12
WUSS 2004 Efficiency Techniques for Beginning PROC SQL Users Kirk Paul Lafler source 10
WUSS 2004 Essential SAS Coding Techniques for Gaining Efficiency Kirk Paul Lafler source 6
WUSS 2004 Methods For Combining SAS Data Sets Of Varying Sizes: Which Method To Use When? Hugh Roghmann source 7
WUSS 2004 Table Lookups: From IF-THEN to Key-Indexing Arthur L. Carpenter source 10
WUSS 2004 Text Processing with the New Perl Regular Expression Functions Richard F. Pless source 11
WUSS 2004 UNIX Comes to the Rescue: A Comparison between UNIX SAS and PC SAS Chii-Dean Joey Lin,
Ming Ji
source 7
MWSUG 2004 Efficiency Techniques for Beginning PROC SQL Users Kirk Paul Lafler 8
PNWSUG 2004 A Sort of a Mess: Large Datasets and Multiple Keys David L. Cassell 4
PharmaSUG 2004 A Quicker Way to Inputting and Sorting Large Dataset Using SAS Lin Yan,
Des Plaines
2
SUGI 2004 Creating and Exploiting SAS Indexes Michael A. Raithel source 10
SUGI 2004 Developing Data Marts and Web-Enabled OLAP for Actuarial and Underwriting Analysis Michael Krumenaker,
George Bukhbinder
source 8
SUGI 2004 Efficiency Techniques for Beginning PROC SQL Users Kirk Paul Lafler source 11
SUGI 2004 Hash Component Objects: Dynamic Data Storage and Table Look-Up Paul M. Dorfman,
Koen Vyverman
source 18
SUGI 2004 Methods of Storing SAS Data into Oracle Tables Lois Levin source 10
SUGI 2004 Quicker Than Merge? Kirby L. Cossey source 7
SUGI 2004 SAS Data Quality - Cleanse: Techniques for Merge/Purge on Very Large Datasets Michael Krumenaker,
George Bukhbinder,
Xiaoyan Yang
source 9
SUGI 2004 SAS Macro Programming for Beginners Lora D. Delwiche,
Susan J. Slaughter
source 14
SUGI 2004 SAS Macro: Symbols of Frustration? %Let us help! A Guide to Debugging Macros Kevin Payton Delaney,
Arthur L. Carpenter
source 21
SUGI 2004 Taking a Deeper Look into the SAS Intelligence Architecture: How to use AIX Tools to Examine Interactions of Base SAS with the IBM pSeries Platform Frank M. Bartucca,
Laurie Jeagers
source 10
SUGI 2004 Using SAS Catalogs to Develop and Manage SAS Data Step Programs David D. Chapman source 11
SUGI 2004 Widefiles, Deepfiles, and the Fine Art of Macro Avoidance Howard L. Kaplan source 11
WUSS 2003 An Animated Guide: Speed Merges: resource use by common procedures Russell M. Lavery source 7
WUSS 2003 SAS Macro Programming for Beginners Susan J. Slaughter,
Lora D. Delwiche
source 8
WUSS 2003 Table Lookups: From IF-THEN to Key-Indexing Arthur L. Carpenter source 7
WUSS 2003 The Where, When, Who, Why, and How of Views Lynn G. Palmer source 5
WUSS 2003 Whittle While You Work-Looking Less Dopey Using SAS Efficiencies (And Make Your Clients Go From Grumpy To Happy) Nikki Carroll,
Frank A. Ferriola
source 5
SCSUG 2003 Quicker Than Merge? Kirby L. Cossey 5
SCSUG 2003 SAS Performance Tuning Strategies and Techniques Kirk Paul Lafler 6
SESUG 2003 MACROS: Tips, Techniques, and Examples Andrew M. Traldi source 10
SESUG 2003 Using an Array as an If-Switch Nazik Elgaddal,
Edward Heaton
source 9
MWSUG 2003 Getting More For Less: A Few SAS Programming Efficiency Issues Arthur L. Carpenter 7
NESUG 2003 How to Link Records Matching on at Least m Out of n Identifying Keys Xinyu Ji 10
NESUG 2003 Methods of Storing SAS Data into Oracle Tables Lois Levin 10
NESUG 2003 SAS Statements Used Anywhere Karin LaPann 10
NESUG 2003 The Dirty Secret Behind the Box: Why Programming Efficiency Should Matter to All of Us John J. Cohen 9
NESUG 2003 The Fundamentals of Efficiency Robert Virgile 5
NESUG 2003 Using an Array as an If-Switch Nazik Elgaddal,
Edward Heaton
9
NESUG 2003 When Size Matters: How Hashing Saved Our Jobs John J. Cohen,
Russell M. Lavery
8
SEUGI 2003 AstraZeneca Data Migration Project [presentation] David Smith,
Paul Frost
source 39
SEUGI 2003 Intelligent Storage - Results from real life testing [presentation] Ingo Brenckmann,
Jochen Kirsten
source 34
SUGI 2003 A Case Study of the Tools, Techniques, and High Level Model Used to Tune AIX Version 5L for the SAS System Frank M. Bartucca,
Torre DeVito
source 5
SUGI 2003 An Inside Look at Version 9 and 9.1 Threaded Base SAS Procedures Robert S. Ray source 6
SUGI 2003 Describing and Retrieving Data with SAS Formats David H. Johnson source 11
SUGI 2003 New Ways and Means to Summarize Files Curtis A. Smith source 6
SUGI 2003 PROC REPORT: Doin' It in STYLE! Ray Pass,
Sandy McNeill
source 10
SUGI 2003 PROC SQL vs. Merge - The Miller Lite Question of 2002 and Beyond Kevin J. Smith,
Muhammad Z. Khan,
Yadong Zhang
source 4
SUGI 2003 Reducing the CPU Time of Your SAS Jobs by More than 80%: Dream or Reality? Henri Theuwissen,
Nancy Croonen
source 10
SUGI 2003 Using SAS Catalogs to Develop and Manage DATA Step Programs David D. Chapman source 4
SCSUG 2002 Selecting Records and Assigning Attributes Jimmy A. DeFoor 8
NESUG 2002 "Easy and Fast, or Not?" Ming H. Chow 6
NESUG 2002 PROC REPORT: Doin' It in STYLE! Ray Pass,
Sandy McNeill
10
NESUG 2002 PROC SQL vs. Pass-Thru SQL on DB2 or How I found an extra day Jeffrey Cohen 4
SESUG 2002 Logicals From Libraries: Using Storage as a Bridge Between Sessions Gary E. Schlegelmilch source 2
SESUG 2002 MACROS: Tips, Techniques, and Examples Andrew M. Traldi source 8
SESUG 2002 The Power of PROC DATASETS Lisa M. Davis,
Blue Cross Blue Shield
source 10
WUSS 2002 New Ways and Means to Summarize Files Curtis A. Smith source 6
WUSS 2002 The Schizophrenic Index Michelle Nipko,
Joseph Nipko
source 4
WUSS 2002 Various Methods for Updating Oracle Tables Using SAS Access to Oracle: Evaluating Efficiency Brian Mayeux source 4
SEUGI 2002 Tuning WebHound 4.0 and SAS 8.2 for Enterprise Windows Systems [presentation] Martin Powdrill source 26
PharmaSUG 2002 %Qexcel Tackles the Challenges of Converting Data to SAS from Excel Jay Zhou 6
PharmaSUG 2002 Efficient Interpolation Calculation Julia Z. Zhang 4
PharmaSUG 2002 Expanding the Functionality of Min()/Max(): Finding Tied Minimum or Maximum Values and Their Contributing Variables Kent Nassen,
Subrahmanyam Pilli,
Luai R. Alzoubi
8
PharmaSUG 2002 Save Time Today Using SAS Views Robert S. Ray 4
SUGI 2002 Creating Efficient SQL - Four Steps to a Quick Query Paul D. Sherman source 5
SUGI 2002 How to Link Records Matching on at Least m Out of n Identifying Keys Xinyu Ji source 5
SUGI 2002 New SAS V8 Tricks for Old SAS V6 Dogs: Tips from the Command Line Louise S. Hadden source 5
SUGI 2002 PROC REPORT: Doin' It in STYLE! Ray Pass,
Sandy McNeill
source 10
SUGI 2002 Programming Tricks for Reducing Storage and Work Space Curtis A. Smith source
SUGI 2002 Pushing the Envelope: SAS System Considerations for Solaris/UNIX in a Threaded, 64-Bit Environment Maureen E. Chew source 8
SUGI 2002 SAS Accessing DB2 Data: a Performance Victory Away Henri Theuwissen,
Nancy Croonen
source 9
SUGI 2002 Save Time Today Using SAS Views Robert S. Ray source 4
SUGI 2002 Seeing Red: Tips for Debugging the SAS DATA Step Michael J. Yee source 4
SUGI 2002 Table Look-up: Techniques Beyond the Obvious Henri Theuwissen,
Nancy Croonen
source 9
SUGI 2002 Tuning WebHound 4.0 and SAS 8.2 for Enterprise Windows Systems James Lebak source 5
MWSUG 2001 50 Ways To Merge Your Data - Installment 1 Kristie Schuster,
Lori L. Sipe
6
MWSUG 2001 Macro Mania Chris O'Brien 7
MWSUG 2001 Table Lookups: From IF-THEN to Key-Indexing Arthur L. Carpenter 8
NESUG 2001 Five (or more) alternatives for record selection from one file based on information in another Michael S. Zdeb 3
NESUG 2001 INTERPOLATION CALCULATION MADE EZ Julia Z. Zhang,
David C. Chen
4
NESUG 2001 New SAS V8 Tricks for Old SAS V6 Dogs: Tips from the Command Line Louise S. Hadden 4
NESUG 2001 So You're Running Out of Sort Work Space... Reducing the Resources Used by PROC SORT Bob Virgile 5
VIEWS 2001 Develop in GUI, Run with Grunt David H. Johnson 8
VIEWS 2001 SOS (Save Our Space) - Matters of Size Matthew Pearce 15
WUSS 2001 Making a Mountain into a Molehill in a Mainframe Environment Using Multi-Step Processing and other Masterly Maneuvers Tracee Matlock source 6
WUSS 2001 Programming Tricks for Reducing Storage and Work Space Curtis A. Smith source 5
WUSS 2001 Table Lookups: From IF-THEN to Key-Indexing Arthur L. Carpenter source 8
WUSS 2001 Version 9: Scaling the Future Diane Olson,
Robert S. Ray
source 5
SESUG 2001 Debugging Made Easy Andrew B. Ratcliffe source 8
SESUG 2001 PROC FORMAT, a Speedy Alternative to Sort/Sort/Merge Jenine Eason source 4
SESUG 2001 The Power of PROC DATASETS Lisa M. Davis,
Blue Cross Blue Shield
source 10
SESUG 2001 Version 9: Scaling the Future Diane Olson,
Robert S. Ray
source 5
SCSUG 2001 Debugging Made Easy Andrew B. Ratcliffe 8
SCSUG 2001 PROC FORMAT, a Speedy Alternative to Sort/Sort/Merge Jenine Eason 4
SCSUG 2001 The Power of PROC DATASETS Lisa M. Davis 10
SCSUG 2001 Version 9: Scaling the Future Diane Olson,
Robert S. Ray
5
SEUGI 2001 Ensuring SLOs and SLAs - How to commit computer resources to SAS applications, jobs and users [presentation] Udo Schmitt source 24
PharmaSUG 2001 The Efficiency of Proc SQL in Place of Traditional Procedures for Large Data Sets Cindy Stroupe 4
SUGI 2001 50 Ways To Merge Your Data - Installment 1 Kristie L. Schuster,
Lori L. Sipe
source 5
SUGI 2001 A Sort of a Mess - Sorting Large Datasets on Multiple Keys David L. Cassell source 4
SUGI 2001 Develop in GUI, Run with Grunt David H. Johnson source 8
SUGI 2001 Enterprise-Wide SAS Administration is a Full-Time Job - Here's How Paul D. McDonald source 6
SCSUG 2000 U. S. Air Force Has New IDEAS for Information Delivery Eddie Stevens,
Mary G. Crissey
8
WUSS 2000 Eenie Meenie Minie Moe - What's the Fastest Proc from Go to Whoa? Comparing PROC SQL and PROC SUMMARY Nikki M. Carroll source 2
WUSS 2000 Efficient Application Development Techniques in the SAS System Kirk Paul Lafler source 6
WUSS 2000 Getting More for Less: A Few SAS Programming Efficiency Arthur L. Carpenter source 5
MWSUG 2000 Efficient SAS Programming Techniques Kirk Paul Lafler 6
MWSUG 2000 Managing Independent Consultants - An Oxymoron? Neil H. Howard,
Michelle Gayari
9
SEUGI 2000 Delivering improved risk management, sales reporting, targeting and campaign management using SAS and Intrinsic software in Banking [presentation] Shaun Doyle source 20
SEUGI 2000 e-procurement with the SAS Solution for Supplier Relationship Management [presentation] Jorg Salomo source 27
SEUGI 2000 If you lose FOCUS, You can always count on SAS [presentation] Manjou Parmar source 21
SEUGI 2000 Turbo Charging SAS Applications in Solaris Environments: Managing Highly Performing Applications in Large Multi-User Environments Maureen E. Chew,
Patty Gilchrist
source 36
PharmaSUG 2000 Managing Independent Consultants - An Oxymoron? Neil H. Howard,
Michelle Gayari
10
SUGI 2000 Efficient SAS Programming Techniques Kirk Paul Lafler source 6
SUGI 2000 Keeping Your Data in Step - Utilizing Efficiencies Michael G. Sadof source 7
SUGI 2000 To Be or Not to Be? That is the Dynamic Web Page Thomas Kunselman,
Almira A. Lyst,
Donald L Penix Jr.
source 8
SUGI 2000 Tuning the SAS System for UNIX and Tuning UNIX for the SAS System Clarke Thacher source 3
SUGI 2000 Variable and Format Consistency - A Macro Approach for Reading in Flat Files Kevin P. Kowitz source 3
SCSUG 1999 40,153,273,652 Charles Hopf,
H. W. Barry Merrill
18
SESUG 1999 Indexed Datasets 101 John Charles Gober source 2
SESUG 1999 Using SAS, SAS/ACCESS, and SQL Passthrough to Query and Join ORACLE Tables: An Example Using the Health Care Finance Administration's SDPS (Medicare) Database Barbara B. Okerson source 5
WUSS 1999 Constructing a Data Warehouse as the Foundation for a Client/Serveer Application System Curtis A. Smith source 8
WUSS 1999 Efficiency Techniques for SAS Software Users Kirk Paul Lafler source 6
NESUG 1999 A Macro Using the SQL INTO: Feature to Retrieve Data from Large SAS/DB2 Databases Thiru Satchi 7
NESUG 1999 Getting More For Less: A Few SAS Programming Efficiency Issues Arthur L. Carpenter 4
NESUG 1999 Optimizing the Processing of VSAM Data Sets With The SAS System Michael A. Raithel 7
SEUGI 1999 A balanced scoredcard for an insurance company base on SAS Software [presentation] Ludwig Fruhauf source 39
SEUGI 1999 Version 8 of the SAS System under Windows [presentation] Jennifer Bradshaw Clegg,
Pat Bostic,
Thomas Goettsche
source 56
SUGI 1999 Advances in Mathematical Programming and Optimization in the SAS System Trevor D. Kearney source 12
SUGI 1999 An SQL List Macro to Retrieve Data from Large SAS/DB2 Databases Thiru Satchi source 6
SUGI 1999 Constructing a Data Warehouse Curtis A. Smith source 6
SUGI 1999 How and When to Use WHERE J. Meimei Ma,
Sandra D. Schlotzhauer
source 8
SUGI 1999 Implementing SAS IT Charge Manager at the State of Wisconsin Bruce R. McClinton source 6
SUGI 1999 Keeping Your Data in Step - Utilizing Efficiencies Michael G. Sadof source 7
SUGI 1999 Optimizing the Processing of VSAM Data Sets With The SAS System Michael A. Raithel source 7
SUGI 1999 So You're Running Out of Sort Work Space... Reducing the Resources Used by PROC SORT Bob Virgil source 6
SUGI 1999 The SDQZ-Pipe Technique: Doing More With Less, Faster and Cheaper Reading UNIX-compressed SAS Data Sets Directly in a Data Step Randy A. Hirscher source 3
WUSS 1998 Constructing a Data Warehouse Curtis A. Smith source 5
WUSS 1998 Ups and Down-sizing: Moving a SAS Application from MVS to UNIX Tracy A. Cermack,
Kimberly J. LeBouton
source 9
NESUG 1998 Efficient Access to Data Warehouse With PROC SQL Pass Through Facility James Yang 7
NESUG 1998 SQL Macro List to Retrieve Data from Large DB2 Databases Using the SAS Pass-Through Facility Thiru Satchi 2
SESUG 1998 ADJ/ANCED TUTORIALS Understanding Indexed Datasets and Using Direct Access Queries,
John Charles Gober
4
SESUG 1998 Power Techniques for Processing Large Tape Data Sets Using the SAS System in the MVS Environment Michael A. Raithel 7
SESUG 1998 What Sort of Input Should You Input to a Sort? Michael A. Raithel 2
PNWSUG 1998 Programming with Efficiency, Techniques for Large Sequential Datasets on a Multi-User System David L. Wilson 4
SEUGI 1998 ERA-MIS: A business information delivery system for the new millennium Arthur Quinn,
Grant MacIntryre,
Stephen McCrory
source 11
SEUGI 1998 Pension expenditure projections: the legal/institutional model of the State General Accounting Office Alessandra DeCastro,
Antonella Menichetti,
Paulo De Persio,
Rocco Aprile
source 5
SUGI 1998 Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software Table of Contents John C. Brocklebank,
Mark Brown
source 24
SUGI 1998 Further Discussion of Summarizing Impossibly Large SAS Data Sets Sheng Luo,
Xinsheng Lin
source 5
SUGI 1998 Improving SAS Performance by Improving I/O Throughput of SAS Work Directory Lu Xu source 5
SUGI 1998 Optimizing SAS Access to an Oracle Database in a Large Data Warehouse Clare Somerville,
Clive Cooper
source 10
SUGI 1998 The Realities of Downsizing Part II: Moving a SAS Application from MVS to UNIX Tracy A. Cermack,
Kimberly J. LeBouton
source 8
SUGI 1998 Understanding Indexed Datasets and Using Direct Access Queries John Charles Gober source
PNWSUG 1997 Disk I/O Considerations for SAS Processing John Hall 4
WUSS 1997 Constructing a Data Warehouse Curtis A. Smith source 6
WUSS 1997 Cross-Validation Estimates of the Prediction Error in a Random-Coefficients Mixed Model Used to Estimate Emissions from On-Road Motor Vehicles using SAS Steven Brisby source 5
NESUG 1997 Disk I/O Considerations for SAS Processing John Hall 4
NESUG 1997 Optimization Techniques for Processing Large Files in an OpenVMS Environment Adrien Ndikumwami 5
NESUG 1997 Techniques for Managing Large Data Sets: Compression, Indexing and Summarization Lisa Ann Horwitz 8
MWSUG 1997 Building a Better Dataset Descriptor Mike D. Tangedal 6
SESUG 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer 10
SEUGI 1997 SAP R/3 performance management in the intranet of Braun AG: combining Web technology with SAS software Hayo Hasselmann source 16
SEUGI 1997 Using SAS/SHARE software more efficiently Philip R. Holland source 6
SUGI 1997 Data Mining the Original Data Warehouse: Twenty-Five Years and a Million Lines of SAS Later H. W. Barry Merrill source 12
SUGI 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer,
Bob Anschuetz
source
SUGI 1997 UNIX Large File Processing Secrets Karsten M. Self source 8
SUGI 1997 Using SAS with Oracle to Add a Replica of a Large Operational Database to a Data Warehouse Clive Cooper,
Clare Somerville
source 7
SCSUG 1996 Engineering Efficiency into SAS Applications Kirk Paul Lafler 6
SESUG 1996 Engineering Efficiency into SAS Applications Kirk Paul Lafler 6
NESUG 1996 Buidling a Data Warehouse with SAS Software: A Recipe for Success Karen Grippo,
John Chen
7
NESUG 1996 Engineering Efficiency into SAS Applications Kirk Paul Lafler 6
NESUG 1996 Two Perils of Moving Your Mainframe Processing to PCs: Memory and Processing Time Peter Knapp 5
WUSS 1996 Can SAS Programs on PCs and Minis Finally Compete with Mainframe SAS Programs Robert O. Bernstein source 6
WUSS 1996 Engineering Efficeincy into SAS Applications Kirk Paul Lafler source 6
WUSS 1996 Measuring Performance Between PROC SQL and the Merge Approach Martin Haase source 5
WUSS 1996 Minimizing CPU Time of SAS Software Applications and Getting Rewarded For It Daniel J. Leprince source 5
WUSS 1996 PROC SQL as an Alternative to Multiple SORT/MERGE Statements Robert Bachler source 3
SEUGI 1996 Accounting of a large TCP/IP network with SAS/CPEr software for open systems at Deutsche Telekom AG Reinhold Schlupmann source 10
SEUGI 1996 Managing the Monster ... Controlling and Using a Large SAS Data Warehouse Ann S. King source 26
SEUGI 1996 SAS software in Credit Management Tracy Gostick source 7
SUGI 1996 "OK, Just Don't Spend Too Much Time on It ..." Henry B. Winsor,
Brian L. Bournival
source 9
SUGI 1996 Building a Data Warehouse with SAS Software: Recipe for Success Karen Grippo,
John Chen
source 7
SUGI 1996 Creating Your First Data Entry System Using PROC FSEDIT Steven A. Wilson source 10
SUGI 1996 Gaining Efficiency With SAS Software Kirk Paul Lafler source 6
SUGI 1996 Getting into a New FRAME Of Mind-OOP with SAS Software FRAME Entry Paul Butler source 10
SUGI 1996 It'S Not a Bug, It's a Feature!! Neil H. Howard,
Linda Williams Pickle,
James B. Pearson Jr.
source
SUGI 1996 Power Techniques for Processing Large Tape Data Sets Using the SAS System in the MVS Environment Michael A. Raithel source 7
SUGI 1996 SAS Connections to DB2: Tools and Techniques Judy Loren source 10
SUGI 1996 Tuning Tips for Applications That Use SAS/SHARE Software Stephen M. Beatrous,
Bill Brideson,
Daniel J. Squillace,
Jan Squillace
source 11
NESUG 1995 A SAS Documenting Tool LeAnn P. Weaver 2
NESUG 1995 Gaining Efficiency With SAS Software Kirk Paul Lafler 6
NESUG 1995 Getting Into a New FRAME of Mind Object Oriented Programming with SAS FRAME ENTRY Software Paul Butler 10
NESUG 1995 Performance Management in an Open Systems Environment Using SAS/CPE with SunNET Manager Joseph M. Mirabal 16
NESUG 1995 PROC FORMAT: Use of the CNTLIN Option For Efficient Programming Karuna Nerukar,
Andrea Robertson
7
NESUG 1995 Reducing LAN Traffic for SAS Data Sets: The Skinny File Approach Richard D. Langston,
Meade Morgan
3
NESUG 1995 Using Base SAS Efficiently Bill MacHose 7
WUSS 1995 Efficient SAS Programming and Data Storage Techniques Prahanth Shetty source 5
WUSS 1995 Empower Your User Community with a SAS Information Warehouse Stephen C. Scott source 10
WUSS 1995 Gaining Efficiency With SAS Software Kirk Paul Lafler source 6
WUSS 1995 Tuning the SAS System Under MVS: A Release 6.08 Update Daniel J. Squillace,
Annette Tharpe
source 7
WUSS 1995 Tuning Tips for Applications That Use SAS/SHARE Software Bill Brideson,
Steve Beatrous,
Daniel J. Squillace,
Jan Squillace
source 10
SESUG 1995 Code Review of A Macro from Observations H. Ian Whitlock 2
SESUG 1995 Gaining Efficiency With SAS Software Kirk Paul Lafler 6
SEUGI 1995 Empower Your User Community with a SAS Information Warehouse Stephen C. Scott source 9
SEUGI 1995 SAS System Performance under UNIX Hans-Joachim Kirsten source 10
SUGI 1995 Empower Your User Community with a SAS Information Warehouse Stephen C. Scott source 10
SUGI 1995 Enterprise-Wide Performance Management Using SAS/CPE Software Tricia Dudley,
Tim Rowles,
Robert Chu
source 5
SUGI 1995 Reducing LAN Traffic for SAS Data Sets: The Skinny File Approach Richard D. Langston,
Meade Morgan
source 3
SUGI 1995 Tuning the SAS System Under MVS: A Release 6.08 Update Daniel J. Squillace,
Annette Tharpe
source 7
WUSS 1994 From Multi-Minute to Sub-Second Response Time With Indexes Terry Berryhill source 2
MWSUG 1994 SAS vs. DB2 as a Relational DBMS for End Users: Three Corporations with Three Different Solutions Stephen C. Scott 10
SESUG 1994 Getting the Most From Your Host David F. Harris 5
SESUG 1994 SAS 6.09 on a CONVEX C3840: First Impressions Kenneth A. Hardy,
Sally M. Muller
8
SEUGI 1994 The SAS System vs DB2 as a Relational DBMS for End Users Three Corporations with Three Different Solutions Steve Scott source 5
SUGI 1994 Cross-Architectural Comparison of Processor Speed Using the SAS System Orion V. Hanger source 3
SUGI 1994 Exploiting the Scheduling Algorithms in SAS/OR Software Radhika V. Kulkarni source 12
SUGI 1994 Processing Large SAS and DB2 Files: Close Encounters of the Colossal Kind Judy Loren,
Alan Dickson
source 8
SUGI 1994 SAS 6.09 on a CONVEX C3840: First Impressions Kenneth A. Hardy,
Sally M. Muller
source 8
SUGI 1994 SAS vs. DB2 as a Relational DBMS for End Users: Three Corporations with Three Different Solutions Stephen C. Scott source 10
WUSS 1993 Temporary Arrays: An Alternative Approach to Merging Large SAS Datasets James G. Wilkinson,
Suzanne J. Strasser
source 4
SCSUG 1993 SAS Programming for Efficient Processing Clarence W. Jackson 6
MWSUG 1993 Tuning Tips for Applications That Use SAS/SHARE Software Bill Brideson,
Steve Beatrous,
Daniel J. Squillace,
Jan Squillace
10
MWSUG 1993 Why We Replaced DB2 Software with SAS Software as a Relational DBMS for a 30-Gigabyte User Information System Stephen C. Scott 10
SUGI 1993 Benchmarking PROC REPORT and PROC TABULATE for Complex Tables Felix G. Meale,
Robert G. Hall
source 7
SUGI 1993 Cars, Dogs, and Drivers: Working with Large "Public "Data Sets Joseph E. St. Sauver source
SUGI 1993 Clinical Data Processing Efficiency Techniques Denis Michel source 6
SUGI 1993 Data Compression and the SAS System Philip Bardsley source 6
SUGI 1993 Distribution of Scientific Data via a Wide Area Network: A SAS/AF User Interface Based on VMS Debra A. Battista,
Jeffrey S. Rosen,
Richard W. Latimer
source 6
SUGI 1993 Techniques for Merging Non-Indexed Data Sets with Duplicate Values of the BY Variables Mark Prior source 6
SUGI 1993 Why We Replaced DB2 Software with SAS Software as a Relational DBMS for a 30-Gigabyte User Information System Stephen C. Scott source 10
SESUG 1993 Cross-Architectual Comparison of Processor Speed Using the SAS System Orion V. Hanger 4
SESUG 1993 Space Saving Tools: Compression in SAS 6.07 Philip Bardsley 9
SCSUG 1992 Mining For SAS Gold? Tom Mannigel 4
SCSUG 1992 Techniques for Simultaneously Processing Multiple Data Sets with Different File Layouts Using SAS Flexcode Huixing Tang,
Matthew Grover,
Kerril S. Bauerly
18
NESUG 1992 New Technology - Transforming a Mainframe System to the PC Using SAS/AF Software Beth A. Schlaline,
Henry F. DeLong Jr.,
Valerie J. Martin
6
NESUG 1992 SAS Macros in Biostatistics: Creating Life Tables for the National Longitudinal Mortality Study Julia L. Bienias 4
NESUG 1992 Sources of SAS Information in the MVS Environment Michael A. Raithel 10
MWSUG 1992 DATA Step Performance Pat M. Herbert,
Jeffrey A. Polzin
5
MWSUG 1992 Use of the Where Clause in SAS 6.07 Robert Zdanky 4
SEUGI 1992 Data Step Performance and I/O Improvements in Release 6.07 Sarah Bell source 9
SEUGI 1992 The Datastep View: Early Experience Thomas J. R. Emmerich source 8
SEUGI 1992 Variable Constants Bram van den Berg source 8
SUGI 1992 A PostScript Macro Library Derek P. Morgan source 6
SUGI 1992 A Tool for Compiling DATA Steps in Large SAS Systems Herbert C. Reynolds source 6
SUGI 1992 CPU and DASD Impacts of Release 6.06 of the SAS System Michael J. Schilling source 7
SUGI 1992 DATA Step Performance Pat M. Herbert,
Jeffrey A. Polzin
source 4
SUGI 1992 Efficient SAS Software Programming: A Version 6 Update Jean Hardy source 5
SUGI 1992 Experiments in Indexing Swati Bansal,
Margaret Seldin
source 3
SUGI 1992 Getting It and Keeping It with SAS Software-Advanced Strategies Sally M. Muller,
Kenneth A. Hardy,
Keith J. Brown
source 7
SUGI 1992 How to Use the WHERE Statement Juliana M. Ma source 5
SUGI 1992 I/O Performance Improvements in Release 6.07 of the SAS System under MVS, CMS, and VMS Stephen M. Beatrous,
John T. Stokes
source 5
SUGI 1992 Increasing Corporate Productivity with Decreasing Training Dollars Jean Ussery,
Bonnie Allen
source 4
SUGI 1992 Macros Invocation Hierarchy: Session-Compiled, Autocall, and Compiled-Stored Macros Susan M. O'Connor source 5
SUGI 1992 Managing General Clinical Research Center (GCRC) In/Outpatient Census Data Using the SAS System and DEC VAX VMS DCL Jacqueline A. Wendel source 5
SUGI 1992 New Technology - Transforming a Mainframe System to the PC Using SAS/AF Software Henry F. DeLong Jr.,
Valerie J. Martin,
Beth A. Schlaline
source 5
SUGI 1992 Optimal Clinical Data Structures for Use with SAS/PH-Clinical Software Sandra D. Schlotzhauer,
Andrew T. Fagan
source 8
SUGI 1992 Performance Enhancements in SAS Procedures for Small and Large Applications Leigh A. Ihnen source 10
SUGI 1992 Realizing Improved Efficiency on Large Databases with SQL in SAS 6.06 with Further Improvements under SAS 6.07 Anne Soeder source 3
SUGI 1992 Some Suggested Modifications to the SAS Conjoint Macro_ Jairo Castano,
Willem Janssen
source 6
SUGI 1992 Sources of SAS System Information in the MVS Environment Michael A. Raithel source 10
SUGI 1992 Strategies for Advanced Merging Applications Using the SQL Procedure and the Data Step Judith H. Mopsik,
Jeffrey Phillips,
Margaret Seldin
source 8
SCSUG 1991 Evaluating Efficiency Techniques Used in the Processing of Large Data Files Alfred W. Ey 17
SCSUG 1991 Using the SAS System Under AIX Effectively Maria Moore 8
NESUG 1991 A Tale of Two Releases: Benchmarking the Performance of the SAS System Release 6.06 against Release 5.18 Michael A. Raithel 10
NESUG 1991 Efficient Programming Revistited: A Review of Performance-Enhancing Features in Version 6.06 Frank C. DiIorio,
Paul Dalberth
9
NESUG 1991 Efficient SAS Software Programming: A Version 6 Update Jean Hardy 5
NESUG 1991 Introduction to Efficient Programming Techniques David S. Septoff,
Paige Valentine-Query
5
MWSUG 1991 Efficient Programming Revisited: A Review of Performance-enhancing Features in Version 6.06 Frank C. DiIorio,
Paul Dalberth
9
MWSUG 1991 SAS Efficiency Techniques Steven J. First,
Kim L. Kolbe
10
MWSUG 1991 Using "Fabricated" History to Plan Inventory in a Volatile Environment Michael Gilliland,
John LaBella
5
SEUGI 1991 Create your own Table Look-Up System Nicolas A. Radulovich source 4
SEUGI 1991 Effective Use of Indexes in the SAS System Steve Beatrous source 10
SEUGI 1991 SAS/CPE Software for VMS Chris Starke source 10
SUGI 1991 A Tale of Two Releases: Benchmarking the Performance of the SAS System Release 6.06 against Release 5.18 Michael A. Raithel source 10
SUGI 1991 Comparison of Mainframe Hardcopy Devices Compatible with SAS/GRAPH Software LeRoy Bessler source 4
SUGI 1991 Computer Performance Evaluation Using SAS/CPE Software under VMS: A Case Study Virginia M. Dineley source 11
SUGI 1991 Creating a User-Friendly Statistical Processing System in a Batch Environment Julia L. Bienias source 6
SUGI 1991 DB2 Performance Management Donald T. Gantz,
James M. Thompson
source 10
SUGI 1991 Effective Use of Indexes in the SAS System Stephen M. Beatrous,
Karen Armstrong
source 10
SUGI 1991 Effective Use of SAS Data Set Indexes in SAS Applications Sally J. Painter source 5
SUGI 1991 Efficient SAS Software Programming Jean Hardy source 4
SUGI 1991 Introduction to Efficient Programming Techniques Paige Valentine-Query source 5
SUGI 1991 Performance Tuning for Release 6.06 of the SAS System under MVS Amitava Ghosh,
Leigh lhnen
source 5
SUGI 1991 The Role of SAS Software in Building a Distributed End-User Computing Environment Robert S. Lohr source 2
SUGI 1991 Using SAS Software to Report Mainframe Utilization and Performance Daniel E. Lodter source 6
SUGI 1991 Using the Concurrency Engine Effectively under VMS Darylene Hecht source 5
SUGI 1991 Using the SQL Procedure in Data Management Applications Merry G. Rabb source 5
SUGI 1991 Utilizing RMS File Attributes Using Release 6.06 of the SAS System under VMS Stephen Boccardo,
Lynn Forwood
source 4
NESUG 1990 Buffering The SAS System VSAM Performance Headaches Michael A. Raithel 7
NESUG 1990 Efficiency Techniques for Improving I/O and Processing Time in the DATA Step Neil H. Howard 9
NESUG 1990 Efficient SAS Software Programming: A New Synthesis Jean Hardy 8
NESUG 1990 Using PROC SQL In Data Management Applciations Merry G. Rabb 9
SEUGI 1990 SAS Software Use at Hoogovens Ymuiden Boertje Boertje-van Vrede,
Jacob G. Goudsblom
source 6
SEUGI 1990 Tuning Version 6 of the SAS System Under MVS Steve Morton source 8
SEUGI 1990 Using the SAS System for Analysis of VMS Computer Performance Data Tony Fisher source 5
SUGI 1990 Buffering The SAS System VSAM Performance Headaches Michael A. Raithel source 6
SUGI 1990 Data Reduction and Summary Statistics in the DATA and PROCEDURE Steps Efficiency Considerations Michael C. Hein,
Judith H. Mopsik
source 8
SUGI 1990 DB2'"Performance Management: A Strategy Using DB2PM and SAS Software Don Baker source 7
SUGI 1990 Determining and Profiling MVS System Activity with MXG and SAS Software Paul J. Waldowski source 6
SUGI 1990 Developing User Applications with SAS/AF Software for PCs: The SAFARI Extract Generator Experiences Michelle Fine source 6
SUGI 1990 Integrating SYSTEM 2000 Data Management Software and the SAS System: Getting Started M. Kathleen Ashlock source 9
SUGI 1990 Management Reporting for Capacity Planning and Computer Performance Evaluation Donald T. Gantz source 12
SUGI 1990 Managing a Multi-vendor DBMS Environment with the SAS' System Tim Feetham source 4
SUGI 1990 Multi-Criteria Decision Support System for Military Force Management Mary G. Crissey source 4
SUGI 1990 Performance Considerations for the Database Engines Howard Plemmons Jr. source 6
SUGI 1990 Using SAS/CPE Software for Analysis of VMS'"Computer Performance Data Tim Rowles source 7
SUGI 1990 Using the FORMAT Procedure to Enhance the Subsetting IF Statement in Table Lookup Tom Krasner source 6
SUGI 1990 Writing Efficient C Code for Optimizers Oliver Bradley source 4
SUGI 1990 Writing Efficient SAS/DB2 Applications in Version 6 of the SAS System Charles A. Jacobs III source 7
NESUG 1989 Efficient Processing of Large Datasets Howard Levine 10
SEUGI 1989 Using New SAS Database Features And Options Jack Wallace source 12
SUGI 1989 A Workload Characterization Tutorial for Online Systems Ellen M. Friedman source 10
SUGI 1989 Clarifying High-Volume SMF Data from Multiple Data Centers to Provide Customers with Meaningful Information Linda Sampey source 5
SUGI 1989 Comparison of VMSORT, SyncSort, PLSORT and SORTT under VM/CMS Using Release 5.18 of the SAS System Kirsty Nunez source 5
SUGI 1989 Confounding of Effects in Equal n Designs: Factorial ANCOVA Scott E. Maxwell,
Harold D. Delaney
source 6
SUGI 1989 Efficient Repeated Generation of Random Samples Laura L. Bauer,
Hank Leddon
source 6
SUGI 1989 Improving Program Efficiency through Coding Techniques Daniel E. Lodter source 6
SUGI 1989 Performance Tips for Using the SAS System on Personal Computers Brett A. Knox source 4
SUGI 1989 Retro-engineering a SAS Reporting System Front-End Brent Turner source 5
SUGI 1989 Running the SAS System under 386 Multitasking Software Julie A. Maddox source 5
SUGI 1989 SAS System Performance Comparisons on Mainframe, Minicomputers, and Micros Tony John Cincera,
Luz Torrez
source 6
SUGI 1989 The SAS System for PCs as a Cost Savings and Development Tool for the Mainframe Stan Geiger source 3
SUGI 1989 Using New SAS Database Features And Options Stephen M. Beatrous,
William D. Clifford,
Kevin Mosmon,
John T. Stokes
source 12
NESUG 1988 Efficiency Techniques for Improving I/O and Processing Time in the DATA Step Neil H. Howard 14
SEUGI 1988 Producing More Efficient SAS Applications Peter Herbertz source 14
SEUGI 1988 Supporting SAS Software in a VMS Environment Torben Christensen source 5
SUGI 1988 Cutting Costs in the DATA Step: Efficiency Techniques for Improving I/O and Processing Time Neil H. Howard source 6
SUGI 1988 Efficient Programming with the SAS System for Personal Computers: Save Time, Save Space Lisa Ann Horwitz,
E. Tim Thompson
source 6
SUGI 1988 Extraction from Enormous Sequential Health Care Claims Data Files Using Multiple Format Tables Nancy Fox,
Craig K. Ray
source 7
SUGI 1988 How Fast Is the SAS System for Personal Computers on Various PCs? Nelson R. Pardee source 6
SUGI 1988 New Measurement Data Sources for MVS/XA and Its Subsystems H. W. Barry Merrill source 10
SUGI 1988 Portability of Large SAS Code across OS Batch, CMS, VMS, and the SAS System for Personal Computers .. Larry McEvoy source 6
SUGI 1988 SAS/GRAPH Software and the IBM 3820 Page Printer LeRoy Bessler source 6
SUGI 1988 Saving Resources with the TABULATE Procedure: The Conversion of Annual Tables from RAMS to the SAS System Diane Muffett source 6
SUGI 1988 Supporting SAS Software in a VMS Environment Virginia M. Dineley,
Joe Slater
source 5
SUGI 1988 The Best of All Possible Worlds: Using the SAS System under MVS, PRIMOS, and MS/DOS Frederick E. Pratter source 6
SUGI 1988 User-written Graphics Procedures Using SAS/GRAPH GKS Subroutines Mona L. Hobby source 6
SEUGI 1987 New Measurement Data Sources for MVS/XA and Its Subsystems H. W. Barry Merrill source 28
SEUGI 1987 OS SAS Installation Performance Tuning Considerations Eric C. Brinsfield source 6
SEUGI 1987 Si Movit, SAS it (If it Moves, SAS it) Bruce Bovill source 15
SEUGI 1987 Using the SAS/GRAPH Software Interface to GDDM Daniel Delorge source 6
SUGI 1987 A Comparison of Table Look-up Techniques Craig K. Ray source 11
SUGI 1987 Computer Center Chargeback Using SAS Software and MICS Jeanne Buse source 5
SUGI 1987 OS SAS Installation: Performance and Tuning Considerations Eric C. Brinsfield source 6
SEUGI 1986 Computer Metrics Measuring and Managing the Performance, Resourses, and Costs of Large Computer Systems H. W. Barry Merrill source 33
SEUGI 1986 Performance and Capacity Planning Considerations for the SAS System on Mainframes Allan Russell source 5
SEUGI 1986 Solving the IBM Graphics Problem The Saga Continues Bill Manos source 5
SUGI 1986 Efficient Use of PROC SUMMARY Suzanne Clark,
Liz Konowal
source 6
SUGI 1986 Improving Binary Search Techniques Robert Virgile source 6
SUGI 1986 Performance and Capacity Planning Considerations for the SAS System on Mainframes Daniel J. Squillace source 5
SUGI 1986 Solving the IBM Graphics Problem The Saga Continues Bill Manos source 3
SEUGI 1985 Run Time Component Analysis Using MICS A. R. MacDonald source 9
SUGI 1985 Modules Versus Segments: A Performance Comparison of the SAS System under the CMS Operating System Simon Griffiths source 6
SUGI 1985 Run Time Component Analysis Using SAS Software H. Pat Artis source 3
SUGI 1985 The Tortoise and the Hare-A SAS Fable in VAX/VMS Jane M. Booker,
Myrle M. Johnson
source 4
SEUGI 1984 A Statistical Analysis of CPU Overhead Factors Alan J. Knight,
Richard Alexander
source 24
SUGI 1984 Data Base Design for Decision Support Systems Gregory N. Smith source 6
SUGI 1984 Developing A Computer Cost Distribution Method Using the MICS Data Base Anne N. Bluth,
Jean L. Waits
source 6
SUGI 1984 Panel Discussion of SAS Users Under the VMS Operating System Louise Horny,
Kevin Mallory,
Gerald Perry,
Brad Reese
source 7
SUGI 1984 Using SAS Software for Generalized System Testing and Verification Claude Briggs,
Katie A. Hubbell
source 4
SUGI 1984 Using SAS Software to Produce Summary Tables of GLM-Calculated Statistics Margaret A. Grady source 6
SUGI 1984 Workload Characterization Using PROC FASTCL US H. Pat Artis source 8
SUGI 1983 A Capacity-costing Methodology Michael Zambruski source 10
SUGI 1983 A SAS Procedure for Accessing a. Model 204 Data Base Richard L. Gimarc source 5
SUGI 1983 A SAS-based VM/CMS Charge-Back System J.D. Hill source 6
SUGI 1983 Data Reduction and Summarization Joshua Sharlin source 8
SUGI 1983 Deterministic Inventory Modeling Using SAS Kent W. Bauman source 5
SUGI 1983 Efficient Techniques for Large Data Files Judith H. Mopsik source
SUGI 1982 Improving the Data Management Expertise of Experienced SAS Users Joshua Sharlin source 6
SUGI 1982 The Development of a SAS Software Package for Maintaining and Utilizing a Nutritional Analysis System Penny T. Culley source
SUGI 1982 Two-stage Cyclic Queueing Model of Multiprogramming from the MICS Data Base Gerald Stephen Hodge source 3
SUGI 1980 A Methodology for Capacity Planning Mary Sue Dickerson,
Franklin S. Young
source 5
SUGI 1980 Clinical Data Management and SAS79 Michael S. Lajiness source 4
SUGI 1980 Service Level Capacity Planning: A Tough Nut to Crack Carlton L. Arnold source 7
SUGI 1980 The DISCRIM Procedure in SAS: A Comparative Analysis Emma L. Frazier source 5
SUGI 1979 A Short Note on Discrete Event Simulation in SAS Douglas L. Anderton,
Audie R. Brewton
source 2
SUGI 1978 K.W.I.C. Indexes with SAS Edward L. Spitznagel source 4
SUGI 1978 Use of SAS at Oklahoma State University During the Fall Semester 1977 Robert D. Morrison source 5
SUGI 1978 Using SAS to Tune MVS H. W. Barry Merrill source 24
SUGI.ONE 1976 SAS/SMF Report Jim Guthrie source 15
SUGI.ONE 1976 Unbalanced Two-Way ANOVA and SAS David G. Herr,
William A. Powers
source 9

Back to keywords