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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:

Presentations:
https://doi.org/10.6084/m9.figshare.11559174.v1

View Recording: https://youtu.be/VNfpGIIjL3E.

Takeaways
  • Pangeo is a community platform for Big Data geoscience; A cohesive ecosystem of open community, open source software, open ecosystem; Three core python packages: jupyter, xarray, Dask
  • Deploying Pangeo on cloud face challenges
    • Cloud costs
    • Cloud skills
    • Need of cloud-optimized data
    • Best strategy of pangeo deployment in the changing cloud services platform
  • Pangeo can be applied to leverage the jupyter notebook and other resources for different level of data users (NCAR: scientists new to cloud computing platform; University of New Mexico: workshop platform etc)

Speakers
avatar for Karl Benedict

Karl Benedict

Director of Research Data Services & Information Technology, University of New Mexico
Since 1986 I have had parallel careers in Information Technology, Data Management and Analysis, and Archaeology. Since 1993 when I arrived at UNM I have worked as a Graduate Student in Anthropology, Research Scientist, Research Faculty, Applied Research Center Director, and currently... Read More →
avatar for Rich Signell

Rich Signell

Oceanographer, USGS
Ocean Modeling, Python, NetCDF, THREDDS, ERDDAP, UGRID, SGRID, CF-Conventions, Jupyter, JupyterHub, CSW, TerriaJS
avatar for Amanda Tan

Amanda Tan

Data Scientist, University of Washington
Cloud computing, distributed systems
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 EST
Linden Oak
  Linden Oak, Breakout