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PRODID:-//pretalx//cfp.pydata.org//pydataglobal2025//talk//SRCNAR
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SUMMARY:Building a Lightweight Feature Store for Electricity Grid Forecast
 s with Polars - Robin Troesch
DTSTART:20251211T113000Z
DTEND:20251211T120000Z
DTSTAMP:20260807T115126Z
UID:pretalx-pydataglobal2025-SRCNAR@cfp.pydata.org
DESCRIPTION:Get a firsthand look at how we built a lightweight feature sto
 re to accelerate electricity grid forecasting. We’ll cover our decision 
 process\, design choices\, and implementation using Polars and Google Clou
 d Storage. Expect lessons learned\, real-world bumps\, and a clear view of
  the costs\, trade-offs and benefits of our solution.
LOCATION:Data Engineering & Infrastructure
URL:https://cfp.pydata.org/pydataglobal2025/talk/SRCNAR/
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