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Explore the critical importance of data quality in the era of GenAI, prescriptive analytics, and online ML models through this 25-minute conference talk from EuroPython 2024. Delve into pragmatic strategies for bridging the gap between data expectations and reality, covering both technical and cultural measures to uphold quality standards. Learn why integration tests are crucial for preempting data contract violations, how to prioritize resources with a product-centric mindset, and the necessity of implementing both hard and soft measures in data quality management. Gain valuable insights applicable to data scientists, software engineers, product managers, and data engineers alike, emphasizing the universal importance of data quality across roles.
