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UID:pretalx-virginia2025-SF7WAK@cfp.pydata.org
DTSTART;TZID=EST:20250418T153000
DTEND;TZID=EST:20250418T160500
DESCRIPTION:Ever wished you could power live leaderboards for fitness chall
 enges or dynamically award wellness badges in real time? Traditional OLTP 
 systems often buckle under the pressure of continuous writes and aggregate
  reads. In this talk\, we’ll explore how Moose\, an open-source OLAP pla
 tform\, enables rapid ingestion and lightning-fast queries on health and w
 orkout data. We’ll walk through a demo of creating real-time fitness lea
 derboards\, awarding achievement badges\, and using Python-based tools for
  data ingestion and visualization. Attendees will learn how an OLAP approa
 ch streamlines the architecture for modern wellness and health application
 s.
DTSTAMP:20260518T175951Z
LOCATION:Auditorium 5
SUMMARY:Real-Time Fitness Leaderboards with Open-Source Moose - David Der
URL:https://cfp.pydata.org/virginia2025/talk/SF7WAK/
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