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SUMMARY:DataJoint: Bringing databases back into data science - Dimitri Yat
 senko
DTSTART;TZID=America/Chicago:20230714T135500
DTEND;TZID=America/Chicago:20230714T142500
DTSTAMP:20261007T032406Z
UID:pretalx-2023-SXJFBQ@cfp.scipy.org
DESCRIPTION:Relational databases manage structured data and facilitate que
 ries in collaborative repositories\, but using SQL from a scientific progr
 amming language is awkward. DataJoint is an open-source framework for mana
 ging scientific data supporting data definition\, diagramming\, and querie
 s. DataJoint makes computation a native part of its data model\, bridging 
 the gap between databases and numerical analysis in automated workflows. W
 e will showcase the elegance of the relational data model and its versatil
 ity through neuroscience research examples. We will also introduce the Dat
 aJoint SciViz library\, enabling scientists to build web apps for data vis
 ualization and unlocking further potential for data-driven discovery.
LOCATION:Zlotnik Ballroom
URL:https://cfp.scipy.org/2023/talk/SXJFBQ/
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