More and more data is going to the cloud for the purposes of accessibility and flexibility. As the cloud increases in popularity, it is important that those migrating their data workflows to the cloud understand how cloud tools work, otherwise the tools may become a hindrance in our drive to cultivate a data-centric culture. In this session, I will provide context for both AWS and CHS, how they interact, and how the underlying technology functions so that participants can begin to think like cloud developers.
I currently serve as a DevOps Lead and Cloud Architect at the National Geospatial Technical Operations Center (NGTOC) in Denver. Leading a team of DevOps Engineers (read: superheroes), our primary focus is bridging the gap between developers and the CHS platform. Additionally, I also... Read More →
A hands-on session to introduce the Cataloginator repository and have people try it out with things that they want to catalog. Creating catalogs is a very common desire, and this lightweight method is a first step to getting machine-readable records that connect USGS systems and identifiers.
CDI's theme is cultivating a data-centric culture, and culture is shared through stories. What makes a good story? Join some of the CDI Communicators to think through what make a good story and workshop writing your own.
This session provides a comprehensive overview of the evolving landscape of Advanced Scientific Computing (ASC) within the USGS, highlighting critical resources and opportunities. Attendees will receive updates on the current and future status of USGS supercomputers, including enhancements in performance and capacity to meet growing computational demands. The session will also explore data movement and storage solutions, focusing on improving efficiency, scalability, and accessibility for researchers.
In addition, participants will learn about the state of training opportunities and collaborations aimed at building expertise and fostering partnerships across the USGS and beyond. Finally, the session will delve into the advancements in cloud-based ASC, emphasizing its role in complementing on-premise resources and enabling flexible, scalable, and innovative research workflows. This session is ideal for anyone looking to understand and leverage USGS computational resources to advance their scientific endeavors.
CDI's theme is cultivating a data-centric culture, and culture is shared through stories. What makes a good story? Join some of the CDI Communicators to think through what make a good story and workshop writing your own.
Data Ingest, Processing, and Storage on managed systems (i.e. the cloud): Knowing how to effectively (cost, latency, interoperability, etc.) receive scientific data from IoT via cloud services helps scientists ingest (receive, format, split/tee, etc.), process (QA/QC, derive data, analyze/apply ML/AI), and store (retain, share, dispose, etc.) their data. The cloud’s distributed nature, scalability, and resilience provides significant advantages for data ingestion and distribution, along with cost-effective options for processing and management. This session would highlight the CHS Cloud Sensor Processing Framework (CSPF) offering, which promotes and encourages innovation in data and technology (USGS Data Strategy Goal #2) and enhances data-literacy and skill-building across the USGS workforce (USGS Data Strategy Goal #5) via direct project consulting.
