Data Quality, Security, and Governance

This unit examines principles and practices for ensuring data quality, protecting data assets, and governing data across an organization. Students learn to assess data quality, apply security controls (encryption, masking, access control, secrets management), and design governance policies and processes that scale to big data characteristics.

Learning Objectives

• Analyze data quality using the data quality hierarchy and assess datasets for completeness, accuracy, consistency, timeliness, and relevance, documenting remediation priorities.
• Apply data security controls—including encryption, data masking, network security measures, access control, and secrets management—to protect sample datasets and demonstrate secure data handling workflows.
• Demonstrate the identification and mitigation of common data security threats by conducting basic threat assessments and recommending appropriate technical and procedural countermeasures.
• Evaluate and construct key components of a data governance framework by developing policies, defining processes, assigning roles, and relating governance decisions to data management needs and the Five V’s of Big Data.