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big data

144 papers and 19 presentations; 148 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE EU 2025 Framework for Integrating Omics Data with Other Clinical and NonClinical Data Sources Mehdi Harek,
Jonathon Keeney		 source
presentation source		 12
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
PharmaSUG 2025 Leveraging Python for Statistical Analysis in Public Health: Techniques and Visualizations for Life Sciences Professionals Michael Carnival source 14
PharmaSUG 2025 Route Sixty-Six to SAS Programming, or 63 (+3) Syntax Snippets for a Table Look-up Task, or How to Learn SAS by Solving Only One Exercise! Bartosz Jabłoński,
Quentin McMullen		 source 58
WUSS 2024 Fifty Shades of SAS Programming, or 53 (+3) Syntax Snippets for a Table Look-up Task, or How to Learn SAS by Solving Only One Exercise! Bartosz Jabłoński,
Quentin McMullen		 source 50
WUSS 2024 Who's Still Bringing That Big Data Energy? Leading a SAS Conference by Leveraging a 48-Year Longitudinal Analysis of 30,498 Presentations in the SAS User Community Troy Martin Hughes source 5
PharmaSUG 2024 Automation and integration of data visualization using R ESQUISSE & R SHINY Vijayakumar Radhakrishnan,
Nithiyanandhan Ananthakrishnan		 source 6
PHUSE EU 2023 Road to Rome or Roaming - A Reprise [presentation] Francis Kendall,
Christian Mueller		 source 32
SESUG 2023 Performing Higher Education Enrollment Management Predictions Using SAS Phil Moore,
Marla Mamrick,
Sara Reinhardt		 source 13
SESUG 2023 The Best of Both Worlds: Analytics with SAS Viya and Python Peter Styliadis source 63
PHUSE US 2023 The Thick and Thin of Adopting Risk-Based Approach to Data Management [presentation] Michał Ruciński source
video		 17
PHUSE EU 2022 Is Your Analytics Platform Ready for Handling Real-world Data for Regulatory-grade Real-world Evidence? William Kuan,
Olivier Bouchard		 source
presentation source		 7
PHUSE EU 2022 Python to Automate an AR Project Identifying Discrepancies across Fields from a Government Open-source Dataset of COVID-19 Vaccine Registrations Aldir Medeiros Filho source
video
presentation source		 14
SAS Explore 2022 Managing Data Processing for CDC Surveillance Projects Using Metadata [video] Louise S. Hadden source
youtube
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 Digital Health Technology in Clinical Trials: Opportunities, Challenges and Biometrics Future Re-imagined Kalyan Chakravarthy Buddavarapu,
Sherry Ye,
Vijay Vaidya		 source 12
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
PHUSE US 2022 Transformation from Prescriptive Clinical Data Analyses to Dynamic Data-driven Analytics through the Adoption of Modularized Cloud Components [presentation] Andy Ratcliffe,
Chris Decker		 source 35
PHUSE EU 2021 EMA Panel Discussion: What Might the Future Landscape of Submitting Data Look Like in 2025 ? [presentation] Eftychia-Eirini Psarelli,
Jesper Kjær		 source 21
PHUSE EU 2021 Software Demonstration: Aspire "Out of this World" Demo - Sponsored by d-wise [presentation] Andy Ratcliffe source 44
SESUG 2021 Differentiate Yourself Kirk Paul Lafler source 18
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
PHUSE US 2021 Real-Time Clinical Trial Analytics Using Automation with IBM Clinical, Medidata Rave and Datacise [presentation] Amritpal Singh source
video		 10
PHUSE US 2021 SimSCE: Building an SCE City to Support My Process [presentation] Andrew B. Ratcliffe,
Chris Decker		 source
video		 36
PharmaSUG 2021 Differentiate Yourself Kirk Paul Lafler source 18
PHUSE EU 2020 Microservices, Containerisation, Kubernetes, Web Frontends - A Solid Foundation for FAIR Data Science Platforms [presentation] Anton Sarov,
Hans-Peter Schreiter		 source
video		 13
PHUSE EU 2020 Unlocking the Potential of Big Data in Clinical Research [presentation] Vishal Kapoor source
video		 15
SGF 2020 How To Make Your Reports Fly! The Impact of Visualization Layer Calculations on Performance Jessica Fraley source 4
SGF 2020 Next Steps: Important Considerations for Moving Your Data and Formats into CAS Kevin Russell source 14
SGF 2020 Scalable Cloud-Based Time Series Analysis and Forecasting Using Open Source Software Javier Delgado source 21
SGF 2020 Transfer Learning for Mining Digital Phenotype by SAS Viya Satoki Fujita source 18
SGF 2020 What's New in SAS Visual Data Mining and Machine Learning: From a Programmer's Perspective Tao Wang source 13
PHUSE US 2020 A Visualization approach for Clinical Trials with Digital Data Siddharth Kumar Lokineni source
presentation source		 6
PHUSE EU 2019 Do Not Trust Your Own Computer-generated Numbers Matthias Lehrkamp source
presentation source		 9
PHUSE EU 2019 Our Industry: Technology-driven or Driven by Technology? Faheeza Rangunwala source
presentation source		 9
PHUSE EU 2019 The Impact of AI, RWE, Precision Medicine and Mobile Health Technology on Streamlined Clinical Trials Stijn Rogiers,
Olivier Bouchard		 source
presentation source		 11
PHUSE EU 2019 Using Natural Language Processing to transform real world data Jane Reed,
Thierry Breyette		 source
presentation source		 9
PharmaSUG 2019 Artificial Intelligence and Real World Evidence - it takes two to tango Charan Kumar Kuyyamudira Janardhana source 9
SGF 2019 Data Quality Programming Techniques with SAS Cloud Analytic Services Nicolas Robert source 10
SGF 2019 How to Win Friends and Influence Platforms: Solving Non-Technical Challenges of SAS Estates. Johnathan Kain source 6
SGF 2019 The "Why" and "How" of Teaching SAS to High School Students Jennifer Richards source 5
PHUSE US 2019 R Markdown for Reproducible Research Cole Arendt source
presentation source		 15
PHUSE EU 2018 Breaking Free from Microsoft Word Dominik Habel source
presentation source		 5
PHUSE EU 2018 Data Engineering Project (Educating for the Future PHUSE Working Group) Guy R. Garrett,
Bev Hayes		 source
presentation source		 14
SESUG 2018 The "Why" and "How" of Teaching SAS to High School Students Jennifer Richards source 9
WUSS 2018 Analyzing international assessments: An ensemble and model comparison approach Chong Ho Yu,
Hyun Seo Lee,
Siyan Gan,
Emily Lara		 source 13
PHUSE US 2018 Data Science Applications and Scenarios Edwin Ponraj Thangarajan,
Giri Balasubramanian		 source
presentation source		 13
PHUSE US 2018 FDA Experience with Emerging Genomics Technologies [presentation] Weida Tong source 16
PHUSE US 2018 Mine the Gap: How the Role of Data Scientist Fills a Need in the Pharmaceutical Industry Michael S Rimler,
Jorine Putter		 source
presentation source		 8
PHUSE US 2018 Post-Marketing Surveillance and the FAERS Big Data Paradox Aditya Gadiko source
poster source		 3
SGF 2018 Analytics in the Cloud, Cross Functional Teams, and Apache Hadoop is not a Thing Ryan Packer source 8
SGF 2018 Analytics Like a Pro: The Differences between My Fantasy Team and Production Analytics in Sports [presentation] Timothy Trussell source 21
SGF 2018 Data Science and SAS : A Data Science Perspecitve [presentation] Richard W. La Valley source 32
SGF 2018 Democratizing Big Data: How to Turn Clickstream Data from Google Analytics into Something Useful Jennifer Seid source 7
SGF 2018 Demystifying Buzzwords: Using Data Science and Machine Learning on Unsupervised Big Data Ben Murphy source 10
SGF 2018 Do You Need to Put Your Data on a Diet? Howard Plemmons Jr.,
Priya Sharma		 source 7
SGF 2018 Experiences and Pitfalls Establishing a Smart Data Lab and Transferring Prototypes into Production Christian Wrobel source 4
SGF 2018 Organizational Contracts in Analytics of Things Ecosystems Michael Goul source 6
SGF 2018 Parallel Programming with the DATA Step: Next Steps David Bultman,
Jason Secosky		 source 16
SGF 2018 Scalable Cloud-Based Time Series Analysis and Forecasting Thiago Quirino,
Michael J. Leonard,
Ed Blair		 source 22
SGF 2018 Supercharging Data Subsets in SAS Viya 3.3 Brian Bowman source 20
SGF 2018 Uncovering Big Opportunities in Big Data [presentation] Dmitriy Khots,
Jeremy Wortz		 source 19
PHUSE EU 2017 Devices Big Data and Real World Evidence Mike Collinson source
presentation source		 7
MWSUG 2017 DATA Step in SAS Viya: Essential New Features Jason Secosky 14
PharmaSUG 2017 Tips and Best Practices using SAS Analytics Tho H. Nguyen,
Paul Segal		 source 7
PharmaSUG 2017 Writing Efficient Queries in SAS Using PROC SQL with Teradata Mina Chen source 5
SGF 2017 A Big-Data Challenge: Visualizing Social Media Trends about Cancer Using SAS Text Miner Scott Koval,
Yijie Li,
Mia Lyst		 source 8
SGF 2017 Advanced Location Analytics Using Demographic Data from Esri and SAS Visual Analytics Murali Nori,
Himesh Patel		 source 11
SGF 2017 Big Value from Big Data: SAS/ETS Methods for Spatial Econometric Modeling in the Era of Big Data Guohui Wu,
Jan Chvosta		 source 15
SGF 2017 Classroom Success with SAS Grid Manager and SAS Visual Analytics: Coping With Big Data John Jernigan,
Ken Gahagan,
Cheryl Doninger		 source 11
SGF 2017 DATA Step in SAS Viya: Essential New Features Jason Secosky source 14
SGF 2017 From Coder to Collaborator: Tips and Tricks for Being a Better Analyst Emma Warrillow source 8
SGF 2017 From Source to Target: Hadoop Capabilities of SAS Data Integration Studio Darryl Yewchin,
Todd Foreman		 source 18
SGF 2017 Guidelines for Protecting Your Computer, Network, and Data from Malware Threats Ryan Paul Lafler,
Kirk Paul Lafler		 source
pdf		 10
SGF 2017 Increasing Revenue in Only Four Months with SAS Real-Time Decision Manager Alvaro Velasquez source 13
SGF 2017 N-Stage Machine Learning Analysis with the LUA Procedure Helps Solve Big Data Analysis Problems Ryo Kiguchi,
Eri Sakai,
Yoshitake Kitanishi,
Akio Tsuji		 source 8
SGF 2017 Outline Outliers: Adding a Business Sense Alex Glushkovsky source 17
SGF 2017 Ten Tips to Unlock the Power of Hadoop with SAS Wilbram Hazejager,
Nancy A. Rausch		 source 17
SGF 2017 What Is Needed for True Population Health Intelligence? Laurie Rose,
Dan Stevens		 source 8
SGF 2017 What's New in SAS Data Management Nancy A. Rausch source 15
SESUG 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source 29
PHUSE EU 2016 Adventures in Data Science Kieran Martin source 9
MWSUG 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes 29
WUSS 2016 SAS integration with NoSQL database Kevin Lee source 9
WUSS 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source 29
PharmaSUG 2016 Access OpenFDA: A Cloud Based Big Data Portal Using SAS Jie Roger Zhou,
James Sun		 source 8
PharmaSUG 2016 SAS integration with NoSQL data Kevin Lee source 9
SGF 2016 Big Data in Higher Education: From Concept to Results Stephanie R. Thompson source 4
SGF 2016 Big Data, Big Headaches: An Agile Modeling Solution Designed for the Information Age Mariam Seirafi source 13
SGF 2016 Event Stream Processing for Enterprise Data Exploitation Tho H. Nguyen,
Fiona McNeill		 source 7
SGF 2016 Exploring SAS Embedded Process Technologies on Hadoop David Ghazaleh source 17
SGF 2016 How to STRIP Your Data: Five Go-To Steps to Assure Data Quality Michael Santema,
Fagen Xie		 source 6
SGF 2016 Infographics Powered by SAS Visual Analytics and SAS Office Analytics Travis Murphy source 15
SGF 2016 Modernizing Data Management with Event Streams Evan Guarnaccia,
Fiona McNeill,
Steve Sparano		 source 20
SGF 2016 Prescriptive Analytics - Providing the Instruction to Do What's Right Tho H. Nguyen,
Fiona McNeill		 source
presentation		 11
SGF 2016 PROC IMSTAT Boosts Knowledge Discovery in Big-Database (KDBD) in a Pharmaceutical Company Yoshitake Kitanishi,
Ryo Kiguchi,
Akio Tsuji,
Hideaki Watanabe		 source 7
SGF 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source
presentation		 29
SGF 2016 Sparking Analytical Insight with SAS Data Loader for Hadoop Matthew Magne,
Scott Gidley		 source 7
SGF 2016 Ten Tips to Unlock the Power of Hadoop with SAS Nancy A. Rausch,
Wilbram Hazejager		 source 12
SGF 2016 Using SAS Visual Analytics to Develop a Real-Time Business Metrics Command Center for Your Office Christopher Blake source 19
SGF 2016 What's New in SAS Data Management Nancy A. Rausch source 18
PHUSE EU 2015 Exploratory Analysis vs Regulatory Reporting Mijanur Rahman source
presentation source		 3
SESUG 2015 How to be a Data Scientist Using SAS Charles D. Kincaid,
Experis Business		 source 13
WUSS 2015 Guidelines for Protecting Your Computer, Network, and Data from Malware Threats Ryan Paul Lafler,
Kirk Paul Lafler		 source 10
SGF 2015 A New Method of Using Polytomous Independent Variables with Many Levels for the Binary Outcome of Big Data Analysis John Gao,
Jesse Harriott,
Lisa Pimentel		 source 7
SGF 2015 Best Practices for Upgrading from SAS 9.1.3 to SAS 9.4 David Stern source 20
SGF 2015 Bust Open That ETL Black Box and Apply Proven Techniques to Successfully Modernize Data Integration Brandon Kirk source 12
SGF 2015 Designing Big Data Analytics Undergraduate and Postgraduate Programs for Employability by Using National Skills Frameworks Richard Self source 5
SGF 2015 Educating Future Business Leaders in the Era of Big Data Tonya E. Balan source 8
SGF 2015 Hey! SAS Federation Server Is Virtualizing 'Big Data'! Ivor G. Moan source 13
SGF 2015 Next Generation: Using SAS Decision Manager to Modernize and Improve Your Operational Decisions Steve Sparano source 20
SGF 2015 Tactical Marketing with SAS Visual Analytics--Aligning a Customer's Online Journey with In-Store Purchases Patricia S. Aanderud,
Johann Pasion		 source 10
SGF 2015 The Analytics Behind an NBA Name Change [presentation] Lauren Cook source
zip		 3
SGF 2015 What's New in SAS Data Management Nancy A. Rausch,
Mike Frost		 source 18
SESUG 2014 Techniques in Processing Data on Hadoop Douglas B. Liming source 11
PHUSE EU 2014 The On-Going Evolutionary Changes of our Industry [presentation] Christian Mueller source 34
PHUSE EU 2014 WISE a World Wide Integrated SAS Environment for Today and Beyond [presentation] Alain Vasseur,
Christelle Le-Beaudour		 source 22
MWSUG 2014 Conquering Big Data Analytics with SAS, Teradata and Hadoop John Cunningham,
Tho H. Nguyen,
Paul Segal		 10
MWSUG 2014 Programming in a Distributed Data Network Environment: A Perspective from the Mini-Sentinel Pilot Project Jennifer R. Popovic 11
MWSUG 2014 SAS In-Memory Analytics: Beyond Foundation SAS Tho H. Nguyen,
John Cunningham		 4
MWSUG 2014 Use of Social Media Data to Predict Retail Sales Performance Li Zhang 13
WUSS 2014 Big Data in a Small Trial: Visual and Statistical Analyses in an N-of-1 Clinical Trial Marie Boman-Davis source 6
WUSS 2014 Conquering Big Data Analytics Challenges with SAS, Teradata and Hadoop Tho H. Nguyen,
Paul Segal,
John Cunningham		 source 10
WUSS 2014 SAS In-Memory Analytics: Beyond Foundation SAS John Cunningham,
Tho H. Nguyen		 source 4
SGF 2014 Big Data/Metadata Governance Sigurd W. Hermansen source 9
SGF 2014 Big Data? Faster Cube Builds? PROC OLAP Can Do It Yunbo Sun,
Michael Brule		 source 5
SGF 2014 Data Visualization in Health Care: Optimizing the Utility of Claims Data through Visual Analysis Krisa Tailor source 16
SGF 2014 Designing for the Mobile Workforce Peter Ina,
Khaliah Cothran		 source 9
SGF 2014 How to be a Data Scientist Using SAS Chuck Kincaid source 13
SGF 2014 How will Big Data change Healthcare Delivery and the Life Sciences Industry? Mark Blatt source 6
SGF 2014 Techniques in Processing Data on Hadoop Donna De Capite source 11
SGF 2014 Washing the Elephant: Cleansing Big Data Without Getting Trampled Mike Frost source 8
SGF 2014 What's New in SAS Data Management Nancy A. Rausch,
Mike Frost,
Michael Ames		 source 15
SGF 2014 What's New in SAS Enterprise Miner 13.1 Jared Dean,
Jonathan Wexler		 source 16
WUSS 2013 How to be a Data Scientist Using SAS Chuck Kincaid source 13
WUSS 2013 Solve Complex Business Challenges by Leveraging Advanced OLAP Cube Techniques and MDX Programming Stephen M. Overton source 14
SESUG 2013 Survey of Big Data Solutions using SAS Technologies Jack N. Shoemaker source 3
SESUG 2013 Winning the War on Terror with Waffles: Maximizing GINSIDE Efficiency for Blue Force Tracking Big Data Blue Force Tracking Big source 19
NESUG 2013 How to be a Data Scientist Using SAS Chuck Kincaid 13
SGF 2013 Adaptive In-Memory Analytics with Teradata: Extending Your Existing Data Warehouse to Enable SAS High-Performance Analytics Greg Otto,
Tom Weber		 source 10
SGF 2013 Best Practices in SAS Data Management for Big Data Malcolm Alexander,
Nancy A. Rausch		 source 13
SGF 2013 Big Data Meets Text Mining Alicia Bieringer,
James A. Cox,
Russell Albright,
Zheng Zhao		 source 12
SGF 2013 Bigger Data Analytics: Using SAS on Aster Data and Hadoop John Cunningham,
Momolue Kiadii		 source 13
SGF 2013 Escape from Big Data Restrictions by Leveraging Advanced OLAP Cube Techniques Stephen M. Overton source 14
SGF 2013 Fast Dashboards Anywhere with SAS Visual Analytics Rick Styll source 27
SGF 2013 Getting Started with SAS Visual Analytics Administration and Deployment [presentation] Gary Mehler,
Meera Venkataramani		 source 49
SGF 2013 In-Database Data Quality: Performance for Big Data Charlotte Crain,
Mike Frost,
Scott Gidley		 source 12
SGF 2013 Leveraging Big Data Using SAS High-Performance Analytics Server Priya Sharma source 9
SGF 2013 Self-Service Data Management: Visual Data Builder Malcolm Alexander,
Sam Atassi		 source 16
SGF 2013 Time Is Precious, So Are Your Models: SAS Provides Solutions to Streamline Deployment Jonathan Wexler,
Wayne Thompson		 source 17
SGF 2013 Using Data Mining in Forecasting Problems Chip Wells,
Justin Kauhl,
Timothy Rey		 source 17
SGF 2013 What's New in SAS Data Management Malcolm Alexander,
Nancy A. Rausch		 source 17
SESUG 2012 Linking Medical Records to Medics in Cyberspace Sigurd W. Hermansen source 9
SESUG 2012 Reducing Big Data to Manageable Proportions Sigurd W. Hermansen source 7
WUSS 2012 Visualizing Data Techniques, Including Autocharting and Big Data Justin Choy source 12
SGF 2012 Better, Consistent Customer Experience from Analytically Based Real-Time Decisions Toshi Tsuboi source 8
SGF 2012 Using SAS to Move Data between Servers John E. Bentley source 14
SGF 2011 Impact of Regulations on Risk and Trading Analytics in Capital Markets Jeff Hong source 13
NESUG 2006 A Hash Alternative to the PROC SQL Left Join Kenneth W. Borowiak 9
PharmaSUG 2006 The Skinny on Processing Very Large Health Claims Data Sets Gopal Rajagopal,
Blue Bell		 10
VIEWS 2001 Enterprise Guide - The New Features in Version 1.2 [presentation] Jeremy Rankcom 16
SUGI 1998 Data Extraction Methods in Medium and Large Databases Anthony M. Dymond source 6
SEUGI 1984 Effective Use of SAS Mogens Weinreich source 11

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