: Confluent Schema Registry + quality checks.
"Driving Data Quality with Data Contracts" by Andrew Jones provides a framework for shifting from reactive data fixes to proactive quality assurance, emphasizing, structured, and validated data contracts. The text outlines essential components including schema definitions, automated quality checks, and service-level objectives to hold producers accountable for data quality. For legal access, a free PDF copy may be available for registered users on the Packt Publishing website : Confluent Schema Registry + quality checks
Start small. Do not try to write contracts for your entire data lake overnight. Begin strictly with your top three most critical data dependencies, master the workflow, and expand organically from there. 6. Access the Full Guide (Verified PDF Download) For legal access, a free PDF copy may
Verified data contracts allow for automated schema validation at the point of ingestion. If the incoming data doesn't match the contract, it can be routed to a "dead letter office" instead of polluting your data warehouse. Implementing Data Contracts in Your Workflow For legal access
If you are looking for authoritative material on this topic, the following resources are widely recognized in the data engineering community: Driving Data Quality with Data Contracts
Specifies primary keys and columns that must remain completely unique. Metadata & Context