BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//pydata-amsterdam2026//talk//NTQMFY
BEGIN:VTIMEZONE
TZID:Europe/Amsterdam
BEGIN:DAYLIGHT
DTSTART:20250912T000000
TZNAME:CEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0200
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20251026T030000
RDATE:20261025T030000
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20260329T030000
RDATE:20270328T030000
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:Taking Flight: Zero-Copy Data Transfer at Scale with Apache Arrow 
 Flight and Friends - Anders Bogsnes
DTSTART;TZID=Europe/Amsterdam:20260912T130000
DTEND;TZID=Europe/Amsterdam:20260912T140000
DTSTAMP:20260809T124338Z
UID:pretalx-pydata-amsterdam2026-NTQMFY@pretalx.com
DESCRIPTION:We all love Apache Arrow in our DataFrames and DuckDBs - but h
 ave you considered how the data is ending up  on your machine? \n\nArrow F
 light and friends was designed as a way of enabling end-to-end native Arro
 w communication and in this tutorial\, we will go through the motivations 
 behind the Arrow Flight protocol\, introduce some of the derived protocols
 \, and we end by building an Arrow Flight server from scratch and demonstr
 ating how to interact with that server from a client. \n\nThis talk is for
  you if you've ever wondered how to implement high-speed data transfer for
  your data analytics.
LOCATION:Room A
URL:https://pretalx.com/pydata-amsterdam2026/talk/NTQMFY/
END:VEVENT
END:VCALENDAR
