BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//programme.europython.eu//europython-2024//speaker//YPDD8
 Z
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-europython-2024-H8Z37Q@programme.europython.eu
DTSTART;TZID=CET:20240710T143500
DTEND;TZID=CET:20240710T150500
DESCRIPTION:We created the “data load tool” (dlt)\, an open-source Pyth
 on library\, to bridge the gap between data engineers and data scientists.
  In this talk you will learn about how dlt can help you overcome typical r
 oadblocks in your data science workflows\, and how it streamlines the tran
 sition from data exploration to production. We will also discuss the pains
  of maintaining data pipelines and how dlt can help you to avoid common en
 gineering headaches. \n\nJoin us to learn best practices around data handl
 ing and managing failures with real-life examples!
DTSTAMP:20260617T072915Z
LOCATION:North Hall
SUMMARY:From Pandas to production: ELT with dlt - Violetta Mishechkina\, Ad
 rian Brudaru
URL:https://programme.europython.eu/europython-2024/talk/H8Z37Q/
END:VEVENT
END:VCALENDAR
