[Esip-cloud] ESIP Cloud Computing Cluster Oct 30 - Arraylake: A Cloud-Native Data Lake Platform for Earth System Science

[Aimee Barciauskas]

Please excuse a typo in the last email, which should say *Joe Hamman* not
Joe Hammand.

On Mon, Oct 16, 2023 at 2:17 PM Aimee Barciauskas <aimee at developmentseed.org>
wrote:

> Please join us Monday Oct 30 in welcoming Joe Hammand and Ryan Abernathey
> to present Arraylake.
>
> *Topic:* Arraylake: A Cloud-Native Data Lake Platform for Earth System
> Science
>
> *When:* Monday October 30th, 10:30-11:30 am PT / 1:30-2:30 pm ET /
> 7:30-8:30pm CEST
>
> *Who:* Ryan Abernathey and Joe Hamman, Founders of Earthmover.io
>
> *Where:* Find joining information on ESIP Community Calendar
> <https://www.esipfed.org/get-involved/community-calendar>
>
> NOTE: THIS DAY AND TIME IS DIFFERENT FROM THE ORIGINAL ESIP COMMUNITY
> CALENDAR. The ESIP community calendar should be updated with this new day
> and time soon.
>
> *Abstract:*
> The vast amount of earth system data available today is an incredible
> resource for understanding our planet and confronting the challenge of
> climate change. Traditionally, a few large organizations have provided most
> of the data, and users have downloaded data to local computers. This way of
> working is becoming increasingly infeasible as data volumes grow and as
> AI-based methods demand direct access to full-scale data archives. With
> essentially infinite compute and storage capacity, cloud computing has the
> potential to revolutionize our interaction with weather and climate data,
> allowing everyone to bring their own compute workloads to bear against a
> single shared copy of the data. Over the past years, via our work in the
> Pangeo project, we have prototyped a cloud-native approach to weather and
> climate data in the cloud, combining scalable computing technologies such
> as Xarray and Dask with analysis-ready, cloud-optimized data in formats
> like Zarr. While these tools show great potential, they remain difficult to
> deploy and use in an operational context for many scientists and
> institutions.
>
> Motivated by this challenge, we founded Earthmover, a company aimed at
> democratizing access to state-of-the-art cloud-native data analytics, and
> built Arraylake, a data platform which enables teams of any size to manage
> and analyze weather and climate data in the cloud. Arraylake users can
> access high-quality public datasets alongside their own private data, all
> via the high-performance Zarr data standard. This talk describes
> Arraylake’s architecture, novel version control system for data, and
> approach to supporting all common climate data formats (NetCDF, HDF5, Grib,
> Tiff, Zarr) via a single, user-friendly interface. Via a short demo, we
> illustrate how Arraylake helps overcome common data management challenges
> that have henceforth limited widespread adoption of cloud computing in
> earth system science.
>
>    - 5 minutes - Welcome and Announcements
>    - 30 minutes - Presentation
>    - 25 minutes - Q + A
>
> Thanks,
> Aimee on behalf of the Cloud Computing Cluster organizing team
>
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