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UID:pretalx-juliacon-2025-87W8CN@pretalx.com
DTSTART;TZID=EST:20250723T105000
DTEND;TZID=EST:20250723T110000
DESCRIPTION:Our world today is defined by big data\; the output of a single
  satellite orbit is larger than your laptop's hard drive.  The canonical w
 ay to analyze "big earth observation datasets" has always been to throw it
  on a cluster and let it run overnight.  But what if it didn't have to be?
 \n\nWith RangeExtractor.jl\, you can run queries over huge gridded dataset
 s on a laptop\, without storing the data locally.  Loading and processing 
 is batched by chunks\, either defaults from the dataset\, or from the user
DTSTAMP:20260317T030612Z
LOCATION:Lawrence Room 104 - Function Room
SUMMARY:Answering local questions on big datasets with RangeExtractor.jl - 
 Anshul Singhvi
URL:https://pretalx.com/juliacon-2025/talk/87W8CN/
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