Design and implement data governance and security measures that protect sensitive data, maintain data quality, and meet regulatory requirements.
Difficulty
Hours per week
Live Sessions
Next Date
Objective
Explore data governance frameworks, principles, and practices alongside key concepts of data security and privacy, ensuring a strong foundation in safeguarding data assets.
Familiarize with prominent data governance frameworks like DAMA-DMBOK and COBIT. Develop data governance policies, standards, and guidelines, while defining roles, responsibilities, and accountability within data governance.
Learn data classification and sensitivity levels, enabling identification and labeling of sensitive data elements. Implement data classification policies and procedures for improved data handling.
Understand essential data privacy regulations such as GDPR and CCPA, ensuring compliance with legal requirements. Explore data anonymization and pseudonymization techniques to enhance data privacy.
Master access control mechanisms for data engineering environments, including Role-Based Access Control (RBAC) and fine-grained access control. Implement authentication and authorization best practices for secure data access.
Examine data quality dimensions and metrics, laying the groundwork for establishing data quality standards and processes. Understand the roles and responsibilities of data stewards in maintaining data integrity.
Learn techniques for data masking to protect sensitive information. Explore encryption algorithms and key management practices to secure data both at rest and in transit.
Implement data auditing and logging mechanisms to track data access, usage, and changes. Utilize anomaly detection and alerting systems to promptly address potential security breaches.
Develop data retention policies and practices, ensuring proper management of data lifecycle. Implement data archiving and backup strategies for data preservation and regulatory compliance.
Adopt best practices for designing and implementing robust data governance and security frameworks. Analyze real-world case studies showcasing successful data governance and security practices in data engineering. Stay informed about emerging trends and advancements in data governance and security to stay ahead of evolving challenges.