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PRODID:-//pretalx//cfp.pydata.org//pydataglobal2025//speaker//DRM8YW
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UID:pretalx-pydataglobal2025-8NYGXU@cfp.pydata.org
DTSTART:20251209T123000Z
DTEND:20251209T130000Z
DESCRIPTION:Tired of exact matches failing on messy data? This talk showcas
 es how BM25\, a powerful fuzzy search algorithm\, tackles the challenge of
  enriching massive datasets with noisy product names. We'll compare practi
 cal\, large-scale implementations using Python's bm25s library (accelerate
 d by GPUs) and DuckDB's built-in full-text search. Join us to learn how to
  achieve fast\, accurate data integration and discover the optimal tools f
 or your fuzzy matching needs.
DTSTAMP:20260719T000522Z
LOCATION:Analytics\, Visualization & Decision Science
SUMMARY:Scaling Fuzzy Product Matching with BM25: A Comparative Study of Py
 thon and Database Solutions - Aniket Abhay Kulkarni
URL:https://cfp.pydata.org/pydataglobal2025/talk/8NYGXU/
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