4 posts
At Earthmover, we’re interested in weather radar data for two reasons: - First, radar data are uniquely valuable for our customers thanks to their ability to characterize precipitation, atmospheric turbulence, and phenomena like tornadoes and hurricanes in real time with fine spatial and temporal re
Data Scientist
Why scientists, data engineers, and developers are turning to Zarr Often the biggest bottleneck in your workflow isn’t your code or your hardware, but the way your data is stored. Data formats can limit–or unlock–what you’re able to do with your data. In modern science and data-intensive computing,
Software Engineer
Why naively lifting scientific data to the cloud falls flat. Scientific formats predate the cloud There are exabytes of scientific data out in the wild, with more being generated every year. At Earthmover we believe the best place for it to reside is in the cloud, in object storage. Cloud platforms
Software Engineer
At Earthmover, we are building the cloud platform for multidimensional array data (a.k.a. tensors). While the need for such a platform is obvious to practitioners in weather, climate, and geospatial data science (not to mention AI, where tensors reign supreme), folks from the mainstream data world o
CEO & Co-founder
