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PRODID:-//pretalx//cfp.pydata.org//pydata-eindhoven-2025//talk//EMUNDT
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UID:pretalx-pydata-eindhoven-2025-EMUNDT@cfp.pydata.org
DTSTART:20251209T112000Z
DTEND:20251209T115000Z
DESCRIPTION:Our data platform journey started with a classic data lake — 
 easy to ingest\, hard to evolve. As domains scaled\, tight coupling across
  source systems\, pipelines\, and data products slowed everything down. In
  this talk\, we share how we re-architected toward a domain-oriented data 
 mesh using PySpark\, Delta Lake and DQX to achieve true decoupling. Expect
  practical lessons on designing independent data products\, managing linea
 ge and governance\, and scaling self-service without chaos.
DTSTAMP:20260425T204048Z
LOCATION:Planck-Bohr
SUMMARY:From Data Lake Entanglement to Data Mesh Decoupling: Scaling a Self
 -Service Data Platform - Geert Jongen
URL:https://cfp.pydata.org/pydata-eindhoven-2025/talk/EMUNDT/
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