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SUMMARY:Zarr: Community specification of large\, cloud-optimised\, N-dimen
 sional\, typed array storage - Sanket Verma\, Josh Moore\, John Kirkham
DTSTART;TZID=America/Chicago:20230713T155000
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DTSTAMP:20261007T040458Z
UID:pretalx-2023-T3NSL8@cfp.scipy.org
DESCRIPTION:A key feature of the Python data ecosystem is the reliance on 
 simple but efficient primitives that follow well-defined interfaces to mak
 e tools work seamlessly together (Cf. http://data-apis.org/). NumPy provid
 es an in-memory representation for tensors. Dask provides parallelisation 
 of tensor access. Xarray provides metadata linking tensor dimensions. Zarr
  provides a missing feature\, namely the scalable\, persistent storage for
  annotated hierarchies of tensors. Defined through a community process\, t
 he Zarr specification enables the storage of large out-of-memory datasets 
 locally and in the cloud. Implementations exist in C++\, C\, Java\, Javasc
 ript\, Julia\, and Python\, enabling.
LOCATION:Zlotnik Ballroom
URL:https://cfp.scipy.org/2023/talk/T3NSL8/
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