Data Security and Governance
Description
Comprehensive data security, governance, and compliance using AWS services including IAM, KMS, CloudTrail, and governance frameworks.
Learning Objectives
Learners will master data security principles, implement comprehensive access controls using IAM, configure encryption with KMS, establish audit trails with CloudTrail, and design governance frameworks for data engineering environments.
Topics (8)
Data classification, security principles, shared responsibility model, and regulatory compliance requirements for data engineering.
IAM users, groups, roles, policies, permission boundaries, and least privilege principles for data access control.
KMS key management, encryption at rest and in transit, key rotation, and encryption best practices for data engineering.
CloudTrail configuration, log analysis, event monitoring, and audit trail management for data engineering environments.
VPC security, security groups, NACLs, VPC endpoints, and network isolation for data processing environments.
Privacy frameworks, GDPR compliance, data anonymization, consent management, and regulatory requirements for data engineering.
Governance policies, data stewardship, metadata management, data lineage, and governance tool implementation.
Security monitoring, threat detection, incident response procedures, and security automation for data infrastructure.