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https://github.com/pydata/xarray/pull/4035#issuecomment-656385475 https://api.github.com/repos/pydata/xarray/issues/4035 656385475 MDEyOklzc3VlQ29tbWVudDY1NjM4NTQ3NQ== 1217238 2020-07-09T22:40:54Z 2020-07-09T22:43:34Z MEMBER

This looks nice. Is there a thought if this would work with functions as a service (GCP cloud functions, AWS Lambda, etc) for supporting parallel transformation from netcdf to zarr?

I haven't used functions as a service before, but yes, I imagine this might be useful for that sort of thing. As long as you can figure out the structure of the overall Zarr datasets ahead of time, you could use region to fill out different parts entirely independently.

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