html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/1308#issuecomment-286511848,https://api.github.com/repos/pydata/xarray/issues/1308,286511848,MDEyOklzc3VlQ29tbWVudDI4NjUxMTg0OA==,10050469,2017-03-14T18:13:18Z,2017-03-14T18:13:18Z,MEMBER,"I've had some troubles with 6-Hrly ERA-Interim data myself recently.

I wonder if the fact that the data is highly compressed (``short`` types converted to ``float64`` with the ``scaled`` and ``offset`` attributes) can have an influence on dask performance and memory consumption? (especially the later)  
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