BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//pycon-lithuania-2024//talk//MX9UEW
BEGIN:VTIMEZONE
TZID:EET
BEGIN:STANDARD
DTSTART:20000101T000000
RRULE:FREQ=YEARLY;BYMONTH=1;UNTIL=20011231T220000Z
TZNAME:EET
TZOFFSETFROM:+0200
TZOFFSETTO:+0200
END:STANDARD
BEGIN:STANDARD
DTSTART:20031026T050000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:EET
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20030330T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:EEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-pycon-lithuania-2024-MX9UEW@pretalx.com
DTSTART;TZID=EET:20240404T153000
DTEND;TZID=EET:20240404T155500
DESCRIPTION:Columnar databases are on the rise! They provide an efficient a
 nd scalable data warehouse for many use cases including time series data. 
 The problem? Many conventional database drivers and querying methods becom
 e the bottleneck for data processing and analytics within our client-side 
 applications. Learn how to leverage open-source projects like Apache Arrow
  Flight and Apache Parquet alongside industry-standard analytics tools to 
 build the foundations of a performant analytics application.
DTSTAMP:20260610T054630Z
LOCATION:Room 228
SUMMARY:A 101 in time series analytics with Apache Arrow\, Pandas and Parqu
 et - Zoe Steinkamp
URL:https://pretalx.com/pycon-lithuania-2024/talk/MX9UEW/
END:VEVENT
END:VCALENDAR
