Description
Zarr and HDF5 are libraries and data formats for storing chunked, compressed N-dimensional data. This talk will give a brief introduction to the their shared functionality, but then focus on the their differences. This talk cover how show how each library handles compression, data storage, and extension points. This talk should help the audience choose the correct tool for their problem.