Google Professional Data Engineer: Data Quality in Google Cloud Pipelines

This certification-study article presents a concise conceptual overview for readers who need context before consulting implementation documentation. It is intentionally non-procedural and focuses on terminology, responsibilities, tradeoffs, governance, and review questions.

Use it as an orientation point for study, architecture discussion, governance, and operational planning. Product-specific configuration and execution details should be taken from the relevant vendor documentation and organizational standards.