Sessions

All Sessions
keyboard_arrow_down
keyboard_arrow_down Show filters keyboard_arrow_up Hide filters
  • All Tracks
  • Platform Features
  • Data Lake
  • Machine Learning
  • Manifesting Change
  • Voice of the Customer
  • Life in the Cloud
  • Instructional Demos
  • Keynotes & Plenary
  • Proven Use Cases
  • Hands On Learning
  • Meet & Greet
  • CARES and Social Events
Platform Features
ROXIE Troubleshooting
event_note
Loading...
event_note
Loading...
place Online Session
card_travel Presentation
mic English
ROXIE Troubleshooting
ROXIE services on cloud/Troubleshooting: What changes will need to occur in the ROXIE code to run on the cloud native platform?
Loading...
Instructional Demos
Running a Containerized HPCC Systems Platform Locally
event_note
Loading...
event_note
Loading...
place Online Session
card_travel Training
mic English
Running a Containerized HPCC Systems Platform Locally
This session will include a demo where you can learn how to start up and use a containerized single-node HPCC Systems Platform cluster on a local machine running Docker Desktop or Minikube to use for ECL Development, testing, or training. This provides a platform for hands-on experience with HPCC Systems to experiment with and even create real-world data analytics applications--all on your desktop or laptop PC.
Loading...
Platform Features
Securing Your Cloud Native HPCC Systems with Service Mesh
event_note
Loading...
event_note
Loading...
place Online Session
card_travel Presentation
mic English
Securing Your Cloud Native HPCC Systems with Service Mesh
With the advent of Cloud and Kubernetes over the years, machines are no longer considered as attached to a data center. Machines are more ephemeral than ever before. The traditional architecture of the HPCC Systems environment harnessed the physical storage of each node and that in turn gave certain performance benefits. But with cloud, it is no longer necessary to have a fixed machine for a process. The true power of cloud can be harnessed only when we treat them as ephemeral. Therefore, a Thor worker node which is always on in a traditional HPCC Systems environment is spun up only when it is required in a cloud environment. With the latest cloud native version of HPCC Systems, we now have the flexibility to spin up the clusters only when required. In this session, we will cover how the latest cloud native platform is different from the bare metal version, explain service mesh and how it fits into the HPCC Systems scheme of things, and a comparison of service mesh Istio and Linkerd.
Loading...
Data Lake
Taming the Data Demon with the DataSeers HPCC Systems Appliance
event_note
Loading...
event_note
Loading...
place Online Session
card_travel Presentation
mic English
Taming the Data Demon with the DataSeers HPCC Systems Appliance
The core of any data solution lies in data management. What is needed is a solution that will integrate and coordinate compliance, reconciliation, fraud monitoring, and visualization. Hear from the DataSeers experts how they are helping companies in the FinTech and Banking industry to manage money, fight fraud and maintain compliance using a solution built from the ground up leveraging HPCC Systems.
Loading...
Data Lake
Terasort with HPCC Systems on Azure Kubernetes Service and High Performance Storage
event_note
Loading...
event_note
Loading...
place Online Session
card_travel Presentation
mic English
Terasort with HPCC Systems on Azure Kubernetes Service and High Performance Storage
The speakers will discuss challenges, AKS considerations and storage options, including a demo covering the setup and configuration of HPCC Systems on AKS with Blob NFS 3.0 and performing a Terasort.
Loading...
Machine Learning
The Causality Analytics Toolkit for HPCC Systems
event_note
Loading...
event_note
Loading...
place Online Session
card_travel Presentation
mic English
The Causality Analytics Toolkit for HPCC Systems
Causal Reasoning is at the heart of most human thought and action, yet has only recently been formalized as a mathematical and scientific field of study. It is hard to conceive of achieving a true AI without such a capability. Although the science of Causality has not advanced to the threshold of AI, it can unlock capabilities that are beyond the realm of statistical observation. Current Machine Learning methods assess observational patterns, and learn to replicate the results of patterns previously detected. They make no effort to disentangle true causal effects from observed correlation. They lack the ability to respond to changes in the scenarios that generated the data, or to predict the effect of new actions on the outcome. Causal Science provides a path toward a deeper understanding of our data. It defines mechanisms that can separate causal influences from spurious correlation and infer causal effects from observational data. As these techniques evolve, they stand to revolutionize our understanding and uses of data. Causality 2021 is an HPCC Systems research and development program. The goal is to increase our understanding of the latest causal algorithms, assess and challenge the current state-of-the art, and develop a Causality Toolkit for HPCC Systems Platform. This project encompasses all three levels of the "Ladder of Causality": “Seeing”, “Doing”, and “Imagining”, as well as Causal Model Validation, and Causal Discovery.
Loading...
Machine Learning
The Forecast of COVID-19 Spread Risk at The County Level
event_note
Loading...
event_note
Loading...
place Online Session
card_travel Presentation
mic English
The Forecast of COVID-19 Spread Risk at The County Level
The early detection of the coronavirus disease 2019 (COVID-19) outbreak is important to save people's lives and restart the economy quickly and safely. People's social behavior, reflected in their mobility data, plays a major role in spreading the disease. Therefore, we used the daily mobility data aggregated at the county level beside COVID-19 statistics and demographic information for short-term forecasting of COVID-19 outbreaks in the United States. The daily data are fed to a deep learning model based on Long Short-Term Memory (LSTM) to predict the accumulated number of COVID-19 cases in the next two weeks. A significant average correlation was achieved (r=0.83 (p=0.005)) between the model predicted and actual accumulated cases in the interval from August 1, 2020 until January 22, 2021. The model predictions had r > 0.7 for 87% of the counties across the United States. A lower correlation was reported for the counties with total cases of <1,000 during the test interval. The average mean absolute error (MAE) was 605.4 and decreased with a decrease in the total number of cases during the testing interval. The model was able to capture the effect of government responses on COVID-19 cases. Also, it was able to capture the effect of age demographics on the COVID-19 spread. It showed that the average daily cases decreased with a decrease in the retiree percentage and increased with an increase in the young percentage. Lessons learned from this study not only can help with managing the COVID-19 pandemic but also help with early and effective management of possible future pandemics. The project used the HPCC Systems platform for collecting, hosting, and analyzing the data.
Loading...
Keynotes & Plenary
Welcome, HPCC Systems Platform Vision, and Plenary Keynotes
event_note
Loading...
event_note
Loading...
place Online Session
card_travel Keynote
mic English
Welcome, HPCC Systems Platform Vision, and Plenary Keynotes
Flavio Villanustre kicks off the 8th annual HPCC Systems Community Summit and reflects on 10 years of our open source journey. Richard Chapman shares his vision and future direction of the platform and our ongoing progress towards making HPCC Systems cloud deployments seamless for our community users. The session concludes with keynotes from top industry leaders and technologists. 
Keynote: HPCC Systems on Azure, Present and Future Possibilities: The Microsoft team will discuss the strong collaboration between Microsoft and LexisNexis Risk Solutions. See how HPCC Systems can be the foundation for a Data Lake and explore Azure services integration possibilities. A high level overview on Azure certification paths will be discussed.
Keynote: A Crypto Customer Journey with HPCC Systems: Hear from C-level executives from the FinTech industry speak about market pressures in Cryptocurrency and how the DataSeers appliance based on HPCC Systems is going to solve some of the problems.
Loading...
Platform Features
What’s New in ECL Watch, IDEs and Visualization Framework
event_note
Loading...
event_note
Loading...
place Online Session
card_travel Presentation
mic English
What’s New in ECL Watch, IDEs and Visualization Framework
Gordon will discuss the latest features in ECL related development tools including "Modern" ECL Watch, Visualization updates, and the VS Code ECL Extension.
Loading...
Platform Features
What’s New in HPCC Systems and the Cloud Native Roadmap
event_note
Loading...
event_note
Loading...
place Online Session
card_travel Presentation
mic English
What’s New in HPCC Systems and the Cloud Native Roadmap
Gavin shares an update on the new features in the latest release including data handling in the cloud native version.
Loading...
Processing. Please wait.
Loading...