Name: Cloud-Optimized Data
Start: 2020-07-14T16:00:00-0400
End: 2020-07-14T17:30:00-0400

For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth observation data, thus forming a community dedicated to making Earth observations more discoverable, accessible and useful to researchers, practitioners, policy makers, and the public. The theme of the meeting is Putting Data to Work: Building Public-Private Partnerships to Increase Resilience & Enhance the Socioeconomic Value of Data.

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Cloud-Optimized Data

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This session will seek to summarize our current understanding of best practices for creating, using and cataloging cloud-optimized data. Speakers are sought to address any part of this research space, including metadata handling, chunking, compression, filtering, sparse datasets, tooling, libraries, workflows, and cloud experiences with formats like Cloud-Optimized GeoTIFF (COG), Parquet, Zarr, TileDB, NetCDF4 and HDF5.

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Takeaways
TBD

Speakers

Patrick Quinn

Software Engineer, Element 84

Ryan Abernathey

Associate Professor, Columbia University

Ryan P. Abernathey, an Associate Professor of Earth And Environmental Science at Columbia University and Lamont Doherty Earth Observatory, is a physical oceanographer who studies large-scale ocean circulation and its relationship with Earth's climate. He received his Ph.D. from MIT... Read More →

Rich Signell

Research Oceanographer, USGS

David Neufeld

NOAA

I'm a Product Owner for a team of engineers developing scientific software at NOAA's National Centers for Environmental Information. We build applications focused on ingesting satellite and ship borne observational data sets, as well as tools to discover and access the data. Please... Read More →

Ana Pinheiro Privette

Amazon Sustainability Data Initiative (ASDI) Lead, Amazon

Dr. Ana Pinheiro Privette is a senior program manager with Amazon's Sustainability group and she leads the Amazon Sustainability Data Initiative (ASDI), a Tech-for-Good program that seeks to leverage Amazon’s scale, technology, and infrastructure to help create global innovation... Read More →

Pete Killick

Researcher, UK Met Office Informatics Lab

My main area of work is developing cloud infrastructures to enable intuitive processing of big data, primarily weather and climate data. I am also interested in how we can leverage new and emerging computer hardware for big data processing.