Why Data Teams Are Using Contract Testing for Data Pipelines

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Why Data Teams Are Using Contract Testing for Data Pipelines

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Data contracts are getting a lot of attention as a way to enforce schema and quality guarantees between producers and consumers. But a new practice is emerging: applying contract testing — borrowed from software engineering — to data pipelines. Lucas and Luna explore how companies like Monzo and others are using consumer-driven contract tests to catch breaking changes before they hit production. They walk through a concrete example: a finance team's daily revenue report breaks because a source table column gets renamed. With contract testing, the pipeline fails fast during CI, not at 3 a.m. in a Slack alert. The episode covers the tooling landscape (from open-source Pact to dbt expectations), the organizational shift required, and why this approach is especially powerful for data mesh architectures. A practical look at how treating data pipelines like distributed services can reduce downtime and rebuild trust. #DataContracts #ContractTesting #DataPipelines #DataQuality #DataEngineering #Monzo #Pact #dbt #DataMesh #CIForData #PipelineTesting #DataObservability #DataGovernance #Business #Technology #FexingoBusiness #BusinessPodcast #DataBusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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