BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//programme.europython.eu//europython-2024//speaker//BYLZX
 E
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-R3P9UX@programme.europython.eu
DTSTART;TZID=CET:20240711T112000
DTEND;TZID=CET:20240711T115000
DESCRIPTION:The "data build tool" (DBT) was designed to unlock software eng
 ineering best practices for SQL-based data pipelines: pipelines as version
  controlled directed acyclic graphs (DAGs) consisting of testable and reus
 able nodes. With the increasing number of cloud data warehouses and data l
 akehouses that allow the native execution of Python code\, DBT also added 
 support for Python models.\nIn this talk\, I will explain how Flatiron Hea
 lth uses DBT to improve and extend lives by learning from the experience o
 f every person with cancer. We will discuss an example project setup that 
 uses SQL as well as Python models. I will share our experiences with unit 
 and data testing as well as with writing a reusable variable library.\nThe
  talk is well-suited for anyone with prior data warehouse or data lakehous
 e experience who is curious how they can leverage DBT to write test-driven
  and reusable data piplines. The example project will use SQL\, Python and
  Snowflake.
DTSTAMP:20260513T161932Z
LOCATION:North Hall
SUMMARY:DBT & Python - How to write reusable and testable pipelines - Flori
 an Stefan
URL:https://programme.europython.eu/europython-2024/talk/R3P9UX/
END:VEVENT
END:VCALENDAR