This is a dedicated watch page for a single video.
You are designing a real-time prediction system that ingests files containing potentially sensitive information—such as personally identifiable information (PII)—into Cloud Storage, and later loads them into BigQuery for analysis. To comply with data privacy requirements, you must protect PII from unauthorized access while also maintaining referential integrity, since fields like names and email addresses are frequently used in join operations. How should you leverage the Cloud Data Loss Prevention (DLP) API to meet these requirements?