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UID:pretalx-cfp-CDDKHS@nyc2024.pydata.org
DTSTART;TZID=US/Eastern:20241108T143500
DTEND;TZID=US/Eastern:20241108T151500
DESCRIPTION:What if I told you that you could complete a JSON parse and ext
 ract task on your laptop before a distributed compute cluster even finishe
 s booting up? DuckDB is a lightweight\, in-process analytical database tha
 t runs on your laptop inside of Python and can wrangle large datasets effi
 ciently\, both from local and remote data sources. In this talk\, we will 
 show you how to query a dataset with DuckDB to extract\, load and transfor
 m data right on your laptop. We'll then show you how to move your workload
 s to the Cloud\, so you can run them at scale. By developing locally and p
 ushing to the Cloud it's not only easy to develop\, debug and iterate\, bu
 t also makes it easy to quickly switch back and forth between workloads th
 at do and don't require Cloud compute resources\, cutting both cost and ti
 me.
DTSTAMP:20250709T215038Z
LOCATION:Central Park West
SUMMARY:A Duck in the hand is worth two in the Cloud: Data preparation and 
 analytics on your laptop with DuckDB - Guen Prawiroatmodjo\, Jacob Matson
URL:https://nyc2024.pydata.org/cfp/talk/CDDKHS/
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