The OGC-Quansight Automated Data Science Virtual DevOps Sprint
Register here before July 6.
The Open Geospatial Consortium (OGC) and Quansight, building upon the Disaster Pilot initiatives and a successful webinar in June, will run a virtual DevOps Sprint this July 7-8.
Using a combination of webconference and chat tools, the Sprint will bring participants up to speed and support them in trying out Quansight’s Nebari (formerly QHub) as a new approach to automating cloud deployment of analytical processing workflows.
Cloud processing of spatial data has incredible promise for rapid, scalable insights and geographic awareness, particularly in emergency and disaster situations. The only problem: it's still very difficult to deploy, tricky to limit cost, and complicated to interchange different cloud platforms.
Nebari (formerly Qhub) is one approach for reducing these barriers to entry and getting practitioners from workflow notebooks to results in a way that is much more automated, cross-platform, and constrained in its use of cloud resources. In order to introduce the Nebari tool suite and its updated batch-processing capabilities, OGC, as part of its Disaster Pilot initiative, and Quansight, the developers of Nebari, presented a webinar on automated data science last June 6. A recording of the webinar can be downloaded from the OGC portal.
Building upon that webinar, the Sprint will cover Nebari deployment and workflow implementation, focusing on use of AWS cloud resources. Newcomers will be invited to use a common Nebari instance and work with provided sample notebooks, while more experienced users can deploy their own Nebari instances on the cloud platform of their choice and try out either the provided notebooks or their own. The sprint will conclude on July 8 with an online show-and-tell session for attendees to share what they’ve learned and accomplished.
More information, including a draft schedule, is available on the registration page.