BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//cfp.pydata.org//berlin2025//talk//ZXTLEW
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
DTSTART:20240902T000000
TZNAME:CEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0200
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20241027T030000
RDATE:20251026T030000
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20250330T030000
RDATE:20260329T030000
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:Forget the Cloud: Building Lean Batch Pipelines from TCP Streams w
 ith Python and DuckDB - Orell Garten
DTSTART;TZID=Europe/Berlin:20250902T155000
DTEND;TZID=Europe/Berlin:20250902T163500
DTSTAMP:20261006T023445Z
UID:pretalx-berlin2025-ZXTLEW@cfp.pydata.org
DESCRIPTION:Many industrial and legacy systems still push critical data ov
 er TCP streams. Instead of reaching for heavyweight cloud platforms\, you 
 can build fast\, lean batch pipelines on-prem using Python and DuckDB.\n\n
 In this talk\, you'll learn how to turn raw TCP streams into structured da
 ta sets\, ready for analysis\, all running on-premise. We'll cover key pat
 terns for batch processing\, practical architecture examples\, and real-wo
 rld lessons from industrial projects.\n\nIf you work with sensor data\, lo
 gs\, or telemetry\, and you value simplicity\, speed\, and control this ta
 lk is for you.
LOCATION:B09
URL:https://cfp.pydata.org/berlin2025/talk/ZXTLEW/
END:VEVENT
END:VCALENDAR