EPISODE · Jul 30, 2026 · 7 MIN
How Data Contracts Are Fixing Broken Data Pipelines
from The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations · host Fexingo
Data contracts are emerging as a powerful pattern to ensure data reliability and quality across modern data stacks. In this episode, we explore how a large European e-commerce platform reduced pipeline failures by 42 percent by implementing data contracts using Great Expectations and CI/CD integration. We discuss what data contracts are, how they differ from simple documentation, and why both small teams and enterprise data organizations are adopting them. Learn how ML teams are using contracts to prevent training-serving skew, and why the cultural shift toward explicit data agreements is analogous to the move from manual testing to continuous integration. We also touch on the current landscape of tools and standards, and what the future might hold for data contracts as part of a data mesh or data product approach. #DataContracts #DataQuality #DataReliability #DataEngineering #DataPipelines #GreatExpectations #DataObservability #MLOps #DataGovernance #DataMesh #DataProduct #SchemaEvolution #Tech #Podcast #FexingoBusiness #BusinessPodcast #DataScience #DataManagement Keep every episode free: buymeacoffee.com/fexingo
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How Data Contracts Are Fixing Broken Data Pipelines
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