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PRODID:-//pretalx//cfp.pydata.org//berlin2025//talk//ZXTLEW
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DTSTART:20001029T040000
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UID:pretalx-berlin2025-ZXTLEW@cfp.pydata.org
DTSTART;TZID=CET:20250902T155000
DTEND;TZID=CET:20250902T163500
DESCRIPTION:Many industrial and legacy systems still push critical data ove
 r TCP streams. Instead of reaching for heavyweight cloud platforms\, you c
 an build fast\, lean batch pipelines on-prem using Python and DuckDB.\n\nI
 n this talk\, you'll learn how to turn raw TCP streams into structured dat
 a sets\, ready for analysis\, all running on-premise. We'll cover key patt
 erns for batch processing\, practical architecture examples\, and real-wor
 ld lessons from industrial projects.\n\nIf you work with sensor data\, log
 s\, or telemetry\, and you value simplicity\, speed\, and control this tal
 k is for you.
DTSTAMP:20260518T175658Z
LOCATION:B09
SUMMARY:Forget the Cloud: Building Lean Batch Pipelines from TCP Streams wi
 th Python and DuckDB - Orell Garten
URL:https://cfp.pydata.org/berlin2025/talk/ZXTLEW/
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