
Blog
Fundamentals: What is Cloud-Optimized Scientific Data?
Why naively lifting scientific data to the cloud falls flat. Scientific formats predate the cloud There are exabytes of scientific...
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Tom Nicholas
Forward Engineer
Announcing Flux: The API Layer for Geospatial Data Delivery
TLDR Earthmover’s new product–Flux–adds a whole new layer to our platform. Flux allows you to serve geospatial data from Arraylake...
Read moreRyan Abernathey
Co-Founder and CEO
Exploring Icechunk scalability: untangling S3’s prefix story
We at Earthmover recently released the Icechunk tensor storage engine, a novel cloud-optimized storage format and library for large-scale array data. Built...
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Sebastian Galkin
Staff Engineer
Fundamentals: Tensors vs. Tables
At Earthmover, we are building the cloud platform for multidimensional array data (a.k.a. tensors). While the need for such a...
Read moreRyan Abernathey
Co-Founder and CEO
Solving NASA’s Cloud Data Dilemma: How Icechunk Revolutionizes Earth Data Access
Summary NASA has been migrating over 100 petabytes of data from on prem systems to the cloud for the last...
Read moreRyan Abernathey
Co-Founder and CEO
How Our Customers Use NOAA Data
NOAA is under threat The US National Oceanic and Atmospheric Administration (NOAA) is one of the world’s leading scientific agencies....
Read moreRyan Abernathey
Co-Founder and CEO
Accelerating Xarray with Zarr-Python 3
zarr-python’s performance paradox Last month, we released Zarr-Python 3.0 - a ground-up rewrite of the library (read more about it...
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Davis Bennet
Open Source Engineer
Zarr-Python 3 is here!
Note: This post was originally published on the Zarr developer blog. After more than a year of development, we’re thrilled to...
Read moreJoe Hamman
Co-founder and CTO