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| Image Removed Join us for the Fall 2022 CCSQ Data Camp on November 16th and 17th. The CCSQ Data Camps are multi-session, multi-day events designed for the CCSQ Data and Analytics community, where subject matter experts from various groups and lines of businesses will present on various training sessions and informational seminars. This year’s theme will be focusing on “Quality Data Analytics Innovation”, as our session speakers will provide guidance and perspective on CCSQ’s future enhancements and vision for both data and analytics tools. Save the date for November 16th and 17th! Sessions and the agenda will be posted here shortly. | Horizontal Navigation Bar Page |
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| This year’s theme was “Growing CCSQ Enterprise Analytics - Learning to Walk Before We Run”, as our session speakers provided guidance and perspective on how data analysts, scientists, and support staff can learn to excel in the foundations of data management and analytics before we move to more advanced capabilities in the future. The Q&A answers from the sessions can be found here on Confluence. Agenda for Day One:Session Title | Speaker(s) | Session Summary | Recording |
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CCSQ Camp Kick Off | Michelle Schreiber (CMS) Rachel Dodge (Tantus Technologies) Expand |
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title | Click here for the session summary... |
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| Join this session to be introduced to our CCSQ Data Camp theme and sessions. CCSQ Leadership will provide opening thoughts to provide us perspective before our CCSQ Data Camp begins. |
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| CCSQ D&A Leadership IntroductionMay 15th | 1:00-2:00pm ET Presented by: Kenneth Howard Testimonials from: Grant Hughes, Jennifer Rockell & Rebecca Rothbard Session Summary | Session Recording | Slides & Additional Information |
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Join this session to learn more about CMS's vision for CCSQ Data & Analytics and learn how Databricks is being leveraged to ensure solutions align with end user needs. | Widget Connector |
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| Code Conversion and Best PracticesMay 15th | 2:00-3:00pm ET Presented by: Derek Cruikshank Session Summary | Session Recording | Slides & Additional Information |
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During this session, learn more about the transition from SAS programming, exploring the best language choices with use cases and their respective advantages and disadvantages. | Widget Connector |
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| CCSQ D&A Public Portal DemoMay 15th | 3:00-3:30pm ET Presented by: Maryam Ibarra Session Summary | Session Recording | Slides & Additional Information |
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During this session, learn more about the CCSQ D&A Portal and how its capabilities for training, data management, and collaboration can enhance your analytic work within the environment. | Widget Connector |
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| Python for SAS ProgrammersMay 15th | 3:30-4:15pm ET Presented by: Colton Rathe Session Summary | Session Recording | Slides & Additional Information |
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Join this session for a demonstration on how to do common SAS code within Python. | Widget Connector |
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| R for SAS ProgrammersMay 15th | 4:15-5:00pm ET Presented by: Dan Anderson Session Summary | Session Recording | Slides & Additional Information |
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Join this session for a demonstration on how to do common SAS code within R. | Widget Connector |
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| CCSQ QuickSight Data VisualizationMay 16th | 1:00-2:00pm ET Presented by: Sarah Davis Session Summary | Session Recording | Slides & Additional Information |
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Join this session to learn more about what CCSQ QuickSight is and how you can leverage it for your analytical work and deliver dashboards and reports to your end users. | Widget Connector |
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| Qualitative Analytics Capabilities Using NLPMay 16th | 2:00-3:00pm ET Presented by: Nikhil Nirhale Session Summary | Session Recording | Slides & Additional Information |
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Join this session to learn more about CCSQ's work to expand Natural Language Processing abilities within the environment. | Widget Connector |
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| A Day in the Life of a ClaimMay 16th | 3:00-4:00pm ET Presented by: Gennady Sherman Session Summary | Session Recording | Slides & Additional Information |
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An overview of submission, processing, and management of Fee-For-Service (FFS) claims in CMS | Widget Connector |
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| CCSQ D&A Roadmap and VisionMay 16th | 4:00-5:00pm ET Presented by: Ken Howard, Alisha Hutson & Justyna Sardin Session Summary | Session Recording | Slides & Additional Information |
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Join this session to learn more about CMS's vision for CCSQ Data & Analytics and how future planned efforts align with CMS business objectives. | Widget Connector |
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| CCSQ D&A Roadmap & VisionPresented by: Kenneth Howard & Alisha Hutson
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| QuickSightPresented by: Sarah Davis
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Review this session to learn more about what QuickSight is and how you can leverage it for your analytical work, as well as how you can view, create, and share dashboards. You will also learn how to gain access to the application and receive support. | Widget Connector |
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| Data & Analytics PortalPresented by: Raphaela Hunter
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This session is a demonstration of capabilities that will be coming soon with the D&A Portal featuring: - Landing Page
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- My DUA
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| Introduction to R Coding in DatabricksPresented by: Kyle Webb
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- Brief introduction into the programming languages including data structures and functions
- Discuss dataframes and accessing data within the environment
- Walk through data wrangling/manipulation, data cleaning, and data aggregation demos
- Demo some plotting and visualizations
- Additional common packages used for data analytics
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| Session 4 Slide Deck Session 4 Q&A To access the notebook for this session visit: Databricks Workspace > cdr-pda-qdas > Data Camp - Fall 2023 (R Demo Notebook) |
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| Introduction to Python Coding in DatabricksPresented by: Derek Cruikshank
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- Brief introduction into the programming languages including data structures and functions
- Discuss dataframes and accessing data within the environment
- Walk through data wrangling/manipulation, data cleaning, and data aggregation demos
- Demo some plotting and visualizations
- Additional common packages used for data analytics
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| Session 5 Slide Deck Session 5 Q&A To access the notebook for this session visit: Databricks Workspace > cdr-pda-qdas > Data Camp - Fall 2023 (Introduction to Python) |
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| Python Coding for SAS ProgrammersPresented by: Derek Cruikshank
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| Session 6 Slide Deck Session 6 Q&A To access the notebook for this session visit: Databricks Workspace > cdr-pda-qdas > Data Camp - Fall 2023 (Python for SAS Programmers) |
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| Introduction to Machine Learning using Python in DatabricksPresented by: Deshane Joseph
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- Best practices with analyzing and exploring data
- Cleaning and prepping the data
- Building and validating logistic regression model
- Creating predictions with the model
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| Session 7 Slide Deck Session 7 Q&A To access the notebook for this session visit: Databricks Workspace > cdr-pda-qdas > Data Camp - Fall 2023 (datacamp-ml-example) |
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CCSQ D&A Roadmap & Vision | Join this session to learn more about CMS's vision for CCSQ Data & Analytics and how future planned efforts align with CMS business objectives. During this session, you will learn how human-centered design is being leveraged to ensure solutions align with end user needs, as well as how you can get involved in testing for future tools. | Widget Connector |
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| Roadmap & Vision Q&A | Introduction to Databricks | This session will explore the various capabilities of Databricks. A demo will be provided to show you how this new tool to the CCSQ D&A environment can help expand your analytic capabilities with its advanced features and catalog of programming languages. | Widget Connector |
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| Introduction to Databricks Q&A | Master Data Management (MDM) Data Overview and Updates | Learn more about the latest MDM data in this session. | Widget Connector |
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| Master Data Management (MDM) Q&A | Understanding the CCSQ D&A Portal | During this session, learn more about the CCSQ D&A Portal and how its future capabilities for training, data management, and collaboration can enhance your analytic work within the environment. | Widget Connector |
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| Portal Q&A | Databricks Deep Dive - Using SQL | Join this session for an overview of building dashboards within Databricks and using the query profiler to benchmark your SQL queries, identify bottlenecks, and optimize them for performance. | Widget Connector |
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| Using SQL Q&A | Databricks Deep Dive - Code Debugging, Performance Troubleshooting, and Exploratory Data Analysis Capabilities | Learn how Databricks features help you to troubleshoot your Spark notebook failures, and how this application's visualization and summary statistics capabilities can be used to explore your data sets to identify trends, patterns, and gaps. | Widget Connector |
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| Code Debugging & Performance Troubleshooting Q&A Code Debugging Example Notebook | Databricks Deep Dive - Workflow Jobs and Git Integration | Join this session for an overview of Databricks workflow features and how they can be used to configure pipelines to execute notebooks, SQL queries, and scripts, with dependency management, and scheduling capabilities. This will also include steps to configure git and integrate your Git repositories. | Widget Connector |
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| Image Added This year’s theme was on “Quality Data Analytics Innovation”, as our session speakers will provide guidance and perspective on CCSQ’s future enhancements and vision for both data and analytics tools. Info |
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Fall 2022 recordings are currently being edited for 508 compliance and will be made available soon. |
Agenda for Day One: Session | Session Summary | Videos | Q&A |
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Kick Off | Listen this session to be introduced to our CCSQ Data Camp theme and sessions. CCSQ Leadership will provide opening thoughts to provide us perspective before our CCSQ Data Camp begins. | Widget Connector |
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| MDM Data | Learn more about the latest with MDM data in this session. | Widget Connector |
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| Overview of CMS Master Data Management (MDM) Data | CCSQ Data & Analytics Notebook Alternative | In this session, learn more about the new Notebook Alternative tool currently under evaluation and pilot. Watch a demo to see the functionality this tool offers, as well as hear from the pilot testers on their experience with the tool. | Notebook Alternative Part One Widget Connector |
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| Notebook Alternative Session | Meet the CMS Data Scientists | In response to costly issues and limitations with data exposed by the Covid-19 PHE, CCSQ components have been making investments so that data will be trustworthy, timely, relevant, and enables proactive administration of center programs. The Quality Innovation and Improvement Group took initiative in this vein via strategic planning with contractors, acquiring/deploying software, and, most drastically, by hiring data scientists (a new position) with modern training and expertise. In this session, you will learn about how data scientists’ roles and responsibilities have been shaped based on needs of their divisional assignments and center-wide duties. | Widget Connector |
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| CCSQ Data & Analytics - Roadmap & Vision | Listen to this session to learn more about CMS's vision for CCSQ Data & Analytics. In this session, a walkthrough will be provided on the CCSQ Data & Analytics roadmap. | Widget Connector |
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| Roadmap & Vision | Understanding the CCSQ Data & Analytics Environment | This session provides a current state view into the architecture and offerings of the CCSQ Data & Analytics Environment. New users and organizations are highly encouraged to attend! | Widget Connector |
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| Understanding the CCSQ Data & Analytics Environment | CCSQ QuickSight Overview | This session showcases what QuickSight is, how QuickSight has been used to help solve CCSQ business needs, and how to get access to start using QuickSight today. You also will be provided the latest updates on QuickSight enhancements that have been implemented in the past year. | Widget Connector |
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| QuickSight Overview | Using Data to Protect Beneficiaries and Evaluate Public Health Policies | Each year, CMS collects and maintains vast quantities of data from dozens of health programs and millions of beneficiaries. In this session, speakers will share how they used CMS databases to identify ways to improve patient safety and analyze the impact of public health policies on nursing home residents. | Widget Connector |
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| Using Data to Protect Beneficiaries and Evaluate Public Health Policies | Feedback Analysis System (FAS) Overview | Learn more about the Feedback Analysis System (FAS), and how this system accelerates the analysis of CMS stakeholder feedback through artificial intelligence (AI). The FAS system utilizes machine learning modeling (ML) and natural language processing (NLP) to categorize stakeholder feedback. Join this session to learn more! | Widget Connector |
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| Feedback Analysis System Overview | Utilizing Qualitative Analysis | During this session, you will learn how qualitative analysis is being leveraged to transform multiple reports into a more readable and consumable format. | Widget Connector |
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| Utilizing Qualitative Analysis |
| Welcome from CCSQ Leadership: CCSQ’s Vision and the Role of Data | Lee Fleisher, MD (CCSQ) Kurt Herzer, MD, PhD (CCSQ) | Expand |
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title | Click here for the session summary... |
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| Data is foundational to CCSQ’s programs and policies, operational performance, and our approach for improving beneficiary outcomes. We will discuss CCSQ’s vision, how data is central to achieving that vision, and the role of data warehouse models, data governance, and accessible analytics—all topics that will be highlighted in greater detail during this year's Data Camp. As one of the largest components of CMS, CCSQ plays an important role in advancing the agency's data modernization efforts. This session will include time for Q&A with Data Camp participants. |
| CCSQ Data & Analytics: SAS Viya Overview | Pete Grivas (CVP) | Expand |
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title | Click here for the session summary... |
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| During this session, we will provide a high-level overview of the technical details of SAS Viya, Hive, and AWS and how they work together. We’ll also cover some of the commonly used system macros which are available and designed to improve the SAS Viya user experience. The presentation will wrap up by covering some SAS Viya best practices as well as a demo so you can see these practices put into action. |
| An Overview of CMS Master Data Management (MDM) & MDM Provider Data Product Offerings | Sandhya Chitturi (NPSS) | Expand |
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title | Click here for the session summary... |
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| This training covers an overview of the CMS Master Data Management (MDM) Program and CMS MDM Provider data product offerings. An in-depth deep dive into the MDM Comprehensive PMI/SPP and MDM PMI/SPP NPI Profile data products will be given. The presenter will walk through how to query the MDM PMI/SPP and MDM NPI Profile tables for several use cases. |
| CCSQ Data & Analytics: Zeppelin Overview | Sri Akula (CVP) Sam Rau (CVP) | Expand |
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title | Click here for the session summary... |
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| During this session, we will provide a high-level overview of Zeppelin, an open-source notebook used for data analytics. After going through the basics, we will go more in depth about the languages and interpreters users can make use of while in the platform. Following a discussion about best practices within the Zeppelin platform, the presentation will also include a walkthrough of sample notebooks that make use of interpreters (JDBC, Python) currently available to users. |
| Agenda for Day Two:Session Title | Speaker(s) | Session Summary | Recording |
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Q&A with CCSQ Leadership | CCSQ Leadership | Expand |
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title | Click here for the session summary... |
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| Join this session to ask multiple leads from CCSQ your questions concerning the CCSQ Data & Analytics efforts, as well as CCSQ-wide vision and goals. |
| QuickSight Overview: QuickSight BI Tool to Help the CCSQ Enterprise | Sarah Davis (SemanticBits) Emily Zavinski (SemanticBits) Beth Stevens (Telligen) | Expand |
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title | Click here for the session summary... |
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| This session will showcase what QuickSight is, how QuickSight has been used to help solve CCSQ business needs, and how to get access to start using QuickSight today. |
| Bringing Data Together for CCSQ Analytic Use | Joshua Phillips (SemanticBits) | Expand |
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title | Click here for the session summary... |
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| This session will discuss how to take the next step in moving towards 'Data as a Product' and how to leverage the CCSQ Data Warehouse and Data Marts in bringing data together for analytic use in CCSQ. |
| iQIES Data Overview | Thomas Kress (CMS) Joshua Phillips (SemanticBits) | Expand |
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title | Click here for the session summary... |
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| iQIES/QBIC users are welcome to join this session in order to learn more about the iQIES use case and data. |
| Feedback Analysis Solution (FAS): Enabling Enterprise Artificial Intelligence (AI) and Machine Learning (ML) | Christina Schilstra (Explore Digits) Nikhil Nirhale (Explore Digits) | Expand |
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title | Click here for the session summary... |
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| Join this session for an overview of Natural Language Processing and its future possibilities. During this session, you will learn more about its use case, lessons learned, how this applies as an enterprise solution, and much more! |
| Closing Thoughts from CCSQ Leadership | Ken Howard (CMS) | Expand |
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title | Click here for the session summary... |
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| You are welcome to join us for closing thoughts provided by CCSQ leadership as we reflect on the sessions and themes discussed during this year's CCSQ Data Camp. |
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| Agenda for Day One: | Session Title | Speaker(s) | Session Summary | Recording | CCSQ Camp Kick Off | Brent Weaver (CMS) Ken Howard (CMS) Expand |
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title | Click here for the session summary... |
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| Are you wondering about the SAS Viya environment and how all of the components interact? During this session, we will provide an overview of the technical details of SAS Viya, Hive, and AWS and how they work together. |
| CCSQ Data & Analytics Environment Overview | Pete Grivas (CVP) | Expand |
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title | Click here for the session summary... |
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| Are you wondering about the SAS Viya environment and how all of the components interact? During this session, we will provide an overview of the technical details of SAS Viya, Hive, and AWS and how they work together. |
| CDR Data Overview | Curtis Smith (CVP) Manpreet Khural (CVP) | Expand |
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title | Click here for the session summary... |
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| This session will cover the relationships between the key data sources in the CDR. We will discuss how data works in the CDR, touch on claims, provider, and beneficiary data, and how these sources relate to other CCSQ data sources like iQIES, HQR, and EQRS. |
| SAS Viya Visual Analytics Overview | Lee Herman (SAS) | Expand |
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title | Click here for the session summary... |
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| SAS Visual Analytics provides a complete platform for analytics visualization. Interactive, self-service BI and reporting capabilities are combined with out-of-the-box advanced analytics so everyone can discover insights from any size and type of data, including text. |
| Hive SQL In-Depth | Pete Grivas (CVP) Expand |
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title | Click here for the session summary... |
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| Take a deeper dive into execution plans, how Hive works behind the scenes with partitions, and why explicit SQL is recommended over implicit SQL. |
| Agenda for Day Two:Session Title | Speaker(s) | Session Summary | Recording |
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Special One-Hour Q&A | Brent Weaver (CMS) Ken Howard (CMS) Indre Goble (CMS) Expand |
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title | Click here for the session summary... |
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| Do you have questions related to the modernization efforts at ISG? Attend this open forum to have your questions answered! |
| SAS Troubleshooting Tips & Tricks | Brendon Salatino (SAS) | Expand |
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title | Click here for the session summary... |
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| Learn how to troubleshoot common issues in SAS Viya. SAS logging options and importing data will be covered as well as how to break your code into manageable components for testing. |
| SQL Optimization Techniques | Pete Grivas (CVP) | Expand |
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title | Click here for the session summary... |
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| During this presentation, we’ll cover user-submitted code before and after optimization, and the approach we took to improving its performance; all with the goal of sharing how other users of CDR can do the same. |
| Hive & CAS Working Together | Chris Coley | Expand |
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title | Click here for the session summary... |
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| CAS provides an in-memory solution to running SAS Programs while Hive provides a distributed approach to accessing large quantities of data. This session will cover the best way to integrate Hive and CAS, using each in a way that plays to their respective strengths. |
| The Future of CAP | Pete Grivas (CVP) Expand |
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title | Click here for the session summary... |
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| The CAP architecture is designed to abstract compute services from data. This extensible architecture allows multiple tools to access the data and allows end users to leverage the tools they are most comfortable with to perform their analyses. We will cover the future of CAP with a focus on future data science tools. |
Presentation Recording Passcode: nJk4u#cg
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