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UID:pretalx-pyconde-pydata-2026-93SXWY@pretalx.com
DTSTART;TZID=CET:20260415T101500
DTEND;TZID=CET:20260415T104500
DESCRIPTION:Tired of data quality issues crashing your PySpark and Pandas p
 ipelines? This talk introduces [dataframe-expectations](https://github.com
 /getyourguide/dataframe-expectations)\, a lightweight\, open-source librar
 y for declarative data validation. We will dive into the library's design 
 and demonstrate how to easily define and apply data quality expectations t
 o catch errors early\, reduce debugging time\, and ship more reliable data
  products\, faster. Learn to build more robust data pipelines and move fro
 m reactive problem-solving to proactive data validation.
DTSTAMP:20260412T141834Z
LOCATION:Helium [3rd Floor]
SUMMARY:Ship Data with Confidence: Declarative Validation for PySpark & Pan
 das - Ryan Sequeira
URL:https://pretalx.com/pyconde-pydata-2026/talk/93SXWY/
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