Data Protection, Governance, and Compliance
In the modern data landscape, data protection involves navigating complex regulatory frameworks to ensure compliance with laws like GDPR. Key mechanisms include S3 Object Lock for immutable storage, which prevents premature deletion, and controlled deletion methods such as the DeleteItem API for immediate compliance. Governance tools like AWS Config monitor resource configurations for compliance, while Service Control Policies (SCPs) prevent unauthorized actions related to data sovereignty. A comprehensive compliance strategy combines these protective and governance measures, ensuring data resilience, legal deletion capabilities, and auditability through services like CloudTrail.
In the modern data landscape, protecting data goes beyond standard access controls. Data engineers must navigate complex regulatory frameworks that dictate how data is protected against tampering, when it must be permanently deleted, and where, geographically, it is allowed to reside. These compliance mechanisms are heavily tested on the AWS Certified Data Engineer – Associate exam.
This lesson explores how to enforce immutable storage, execute legally required data deletions, and leverage governance tools like AWS Config and service control policies (SCPs) to ensure your data pipeline complies with strict data sovereignty laws.
Protecting data and deleting for compliance
Data protection and legal deletion are two sides of the same compliance coin. A data engineer must ensure active data remains resilient and available while also supporting the ability to permanently remove data when regulations demand it.
Protection mechanisms for resiliency
S3 Object Lock enforces ...