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PRODID:-//pretalx//pretalx.com//pyconhk2024//talk//YPKQZM
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TZID:HKT
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DTSTART:20000101T000000
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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
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BEGIN:VEVENT
UID:pretalx-pyconhk2024-YPKQZM@pretalx.com
DTSTART;TZID=HKT:20241116T172000
DTEND;TZID=HKT:20241116T172500
DESCRIPTION:For data engineers to set up reliable data pipelines\, it is cr
 ucial to conduct validations at each step to ensure the high quality of th
 e data. Great Expectations (GX) is an open source framework that provides 
 an intuitive way -- Expectations -- to define and manage data quality.\nTh
 is lighting talk will explore how to leverage Great Expectations to automa
 te data quality checks and increase transparency in your data pipeline. To
  demonstrate GX's features\, we will explore two examples of Expectations 
 (basic and conditional).
DTSTAMP:20260413T110307Z
LOCATION:LT9
SUMMARY:Data Validation in Python - Meixin Wang
URL:https://pretalx.com/pyconhk2024/talk/YPKQZM/
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