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SUMMARY:In-Process Analytical Data Management with DuckDB - Alex Monahan\,
  Hannes Mühleisen\, Mark Raasveldt
DTSTART;TZID=America/Chicago:20230712T152500
DTEND;TZID=America/Chicago:20230712T155500
DTSTAMP:20261007T025202Z
UID:pretalx-2023-S8NSHT@cfp.scipy.org
DESCRIPTION:DuckDB is a novel analytical data management system. DuckDB su
 pports complex queries\, has no external dependencies\, and is deeply inte
 grated into the Python ecosystem. Because DuckDB runs in the same process
 \, no serialization or socket communication has to occur\, making data tra
 nsfer virtually instantaneous. For example\, DuckDB can directly query Pan
 das data frames faster than Pandas itself. In our talk\, we will describe 
 the user values of DuckDB\, and how it can be used to improve their day-to
 -day lives through automatic parallelization\, efficient operators and out
 -of-core operations.
LOCATION:Amphitheater 204
URL:https://cfp.scipy.org/2023/talk/S8NSHT/
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