Register for the OGC-Quansight Automated Data Science Sprint
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. The Open Geospatial Consortium, as part of its Disaster Pilot initiative, and Quansight, the developers of Nebari, presented a webinar on automated data science last June 6. In order to introduce the Nebari tool suite and its updated batch processing capabilities. A recording of the webinar can be accessed here: https://portal.ogc.org/files/?artifact_id=101104.

OGC and Quansight will be running a virtual dev ops sprint this July 7-8 using a combination of webconference and chat tools to bring participants up to speed and support them in trying out this new approach to automating cloud deployment of analytical processing workflows. 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. Registrants will receive an updated schedule and links to online tools before the event.

Sprint Schedule (preliminary)

Thursday 7 July

    10:00am-12:00pm EDT: Introduction to Nebari
        Overview of core features
        Practical Ocean/Met/Geospatial Example Notebooks
        Managing Nebari (Environments/Users)
    12:00pm-12:30pm EDT: Lunch / Practice on your own
    12:30pm-2:30pm EDT: Working with useful cloud tools
        Scaling with Dask
        Executing headless / long-running computations
        Scheduling simple and complex workflows
    2:30pm-3:00pm EDT: Break
    3pm-4pm: Installing & configuring Nebari on your own cloud (optional)

Friday 8 July

    10:00am - 1:00pm EDT: Work on your own with access to expert help
    1:00pm - 3:00pm EDT: Q&A + Show and Tell
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Your name (pronouns) *
Your GitHub name (for access to the common nebari environment)
Your primary spatial data science role
Background and interests in cloud processing and analytical workflows *
Would you like to receive information about the upcoming OGC Disaster Pilot 2022 initiative?
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