Driving data quality with data contracts moves the effort from "reactive cleaning" to "proactive assurance." Here is how it works in practice:
Schema drift—the silent addition, removal, or change of columns—is a primary cause of broken pipelines. A data contract enforces for a given version. Tools like protobuf , Avro , or contract registries (e.g., Confluent Schema Registry) compare incoming data against the contract. Any drift triggers an alert or blocks the pipeline. Driving data quality with data contracts moves the
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A "Data Contracts 101" summary is available directly from the author's site at andrew-jones.com Code Repository: Any drift triggers an alert or blocks the pipeline
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PayPal, a pioneer in implementing data contracts at scale, has open-sourced their internal template and documentation. This is one of the most cited real-world examples of data contracts in practice. PayPal Data Contract Template on GitHub 3. "Understanding Data Contracts" Research Paper