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Wednesday, January 8 • 11:00am - 12:30pm
Pangeo in Action

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The NSF-funded Pangeo project (http://pangeo.io/) is a community-driven architectural framework for big data geoscience. A typical Pangeo software stack leverages Python open-development libraries including elements such as Jupyter Notebooks for interactive data analysis, Intake catalogs to provide a higher level of abstraction, Dask for scalable, parallelized data access, and Xarray for working with labeled multi-dimensional arrays of data, and can support data formats including NetCDF as well the cloud-optimized Zarr format for chunked, compressed, N-dimensional arrays.

This session includes presentations describing implementations, results, or lessons learned from using these tools, as well as some time for open discussion. We encourage attendance by people interested in knowing more about Pangeo.

Draft schedule:
Dr Amanda Tan, U. Washington: Pangeo overview and lessons learned
Dr Rich Signell, USGS: The USGS EarthMap Pangeo: Success Stories and Lessons Learned
Dr Jeff de La Beaujardière, NCAR: Climate model outputs on AWS using Pangeo framework
Dr Karl Benedict, UNM: Pangeo as a platform for workshops
Open discussion

How to Prepare for this Session:

avatar for Jeff de La Beaujardière

Jeff de La Beaujardière

Director, Information Systems Division, NCAR
Big data, cloud computing, object storage, data management.

Wednesday January 8, 2020 11:00am - 12:30pm
Linden Oak
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Attendees (5)