Sessions

Jon will discuss the approach and methods used in a custom Azure cloud deployment, based on our own company experience. This includes how to perform robust deployments of HPCC Systems environments on the cloud, with a focus on security, maintainability and supportability, and using the precepts of zero touch and zero trust.

This presentation is for anyone interested in HPCC Systems metrics. It covers a description of the metrics framework and how its components operate, a brief explanation of how HPCC Systems components are instrumented for metric collection, configuration using helm charts, and a discussion of how HPCC Systems is planning on using metrics in areas of cluster health and scaling.

This talk will cover how to setup and implement a basic HPCC Systems cluster in the cloud using Azure Kubernetes. We will walk through the deployment configuration leveraging Terraform, GitOps/Flux2 and storage settings. Note: This talk is intended for the wider open source HPCC Systems community. It is advised to check with your organization for any specific security protocols.

There is a lot that plays into an athlete being able to perform at their best when it matters most. Not only are there physical demands, but factors that come from outside of their sport that affect their wellbeing and readiness to perform. In team sports, there are many external variables that cannot be controlled, which makes the process of gauging performance of individual athletes difficult. The better the understanding of what an athlete does and how their body responds, the better we can support them to be at their best. Within collegiate athletics, and sports in general, there is a struggle to be able to interpret data from different streams together in a single report. Furthermore, streamlined data collection, can further aid our understanding of what an athlete does and how their body responds. This involves data from all aspects of an athlete’s day including wellness questionnaires, practice training loads, weight room training loads, and weight room assessments of strength, power, and fatigue. In the past we have shown the impact of using HPCC Systems with the NC State Men’s soccer team. Here you will see some solutions using HPCC Systems and RealBI to provide insight from data collected with the NC State Women's basketball team as well as how this system can serve not only the Strength and Conditioning department, but the athletics department as a whole.

Community Recognition & Poster Awards Ceremony: Join us as we announce the recipients of the 2021 HPCC Systems Community Recognition and David Kan Ambassador Awards. Winners of the 2021 Poster Competition will also be unveiled. 
Panel Discussion: Academia and Industry – BFFs (Best Friends Forever) - Industry and Academia have a long and prosperous partnership history, providing mutual benefit through project collaboration, real-world opportunities for students, and preparation for the next generation of professionals into the workforce. This partnership needs work from both sides to thrive, needing mutual respect, equal contribution, and alignment to goals and outcomes. This discussion will be focused on the opportunities and challenges of this partnership. Our guest panelists will feature industry and academic experts talking through their experience in establishing value, best practices, pitfalls, and methods to ensure a successful long-lived relationship. This panel discussion will be moderated by Bahar Fardanian, Technology Evangelist, LexisNexis Risk Solutions Group, who works closely with our community partners.
Wrap-up & Adjourn: Flavio Villanustre closes the exciting day with a wrap-up and thank you to our Community.

This talk will cover a discussion of some current and future technology enhancements around HPCC Systems platform security, with a primary focus on cloud deployments. This session will include a look at support for mutual transport layer security between internal components within an HPCC Systems environment, external facing TLS for securing access into the HPCC Systems environment, using cert-manager to generate TLS certificates for HPCC Systems services and components, installing externally created TLS certificates, secrets management, and a look at our plans for future support of OAUTH2 based authentication and authorization, with an initial focus on support for OAUTH2 integration with Azure Active Directory services.

This talk focuses on the virtual collaborative work done between RV College of Engineering and LexisNexis Risk Solutions on recent contributions to the HPCC Systems Platform. These include plugins and extending Machine Learning bundles for HPCC Systems, followed by analysing the impact of skewed data distributions on most commonly used ECL operations. The talk concludes with case studies executed on HPCC Systems, including the implementation of a virtual reality application.

Prof. Renato will discuss the successful conjoint initiatives being held between University of São Paulo (USP) and LexisNexis Risk Solutions in Brazil for leveraging HPCC Systems for teaching & learning, research and extensions activities in academia, including recent machine learning projects.

Getting Started with the ML Bundles, Preparing Your Data, Exploring DBSCAN and K-Means.

A three-hour workshop, Cruising the ML World with HPCC Systems, is open to all attendees who want to explore the Machine Learning Bundles of HPCC Systems. Code examples and lesson materials will be included. Attendees can attend any one-hour session or the whole workshop. All three sessions will be recorded for playback. Prerequisites: This workshop assumes that the attendee have a basic understanding of HPCC Systems and ECL. We recommend that you complete our online Introduction to ECL Courses (Part 1 and 2) and review client setup instructions available in GitHub (https://github.com/hpcc-systems/Community-Workshops) before attending.

Part 2 – Supervised Learning Exploring Linear and Logistic Regression A three-hour workshop, Cruising the ML World with HPCC Systems, is open to all attendees who want to explore the Machine Learning Bundles of HPCC Systems. Code examples and lesson materials will be included. Attendees can attend any one-hour session or the whole workshop. All three sessions will be recorded for playback. Prerequisites: This workshop assumes that the attendee have a basic understanding of HPCC Systems and ECL. We recommend that you complete our online Introduction to ECL Courses (Part 1 and 2) and review client setup instructions available in GitHub (https://github.com/hpcc-systems/Community-Workshops) before attending.