Complete guide to building a data quality framework. Learn constraint validation in Scala, YAML checks (DPAT), Spark/Airflow/CI/CD integration, and automated failure reporting. Includes real code and architecture to catch issues early.
Production-tested strategy to cut pipeline failures from 12% to 2% using YAML-based data quality checks (DPAT), CI/CD gates, and strict data contracts. Includes before/after metrics and architecture for self-healing pipelines in prod.