Implement data management practices, compliance requirements, privacy protections, and quality assurance measures.
Covers explaining data management practices including documentation, versioning, and data lineage tracking. Includes summarizing compliance requirements such as data retention policies, audits, and regulatory requirements. Also covers comparing privacy and protection strategies including access control, encryption, and data masking. Additionally includes implementing quality assurance through data profiling, monitoring, and testing to ensure data quality and integrity.
5 minutes
5 Questions
In the context of the CompTIA Data+ V2 certification, Data Governance represents the overarching framework of authority, control, and decision-making exercised over the management of data assets. It is the strategic system ensuring that data is accurate, consistent, secure, and usable across an organization. Unlike simple data management, which focuses on execution, governance focuses on the people, processes, and policies that dictate how data is handled throughout its lifecycle—from acquisition to archival or destruction.
A critical aspect covered in Data+ V2 is the assignment of specific roles. This includes Data Owners, who hold business and legal accountability for data domains; Data Stewards, who oversee data quality, metadata, and business rules; and Data Custodians, who handle the technical transport, storage, and security implementation. Governance establishes the 'rules of engagement,' defining access controls, data classification standards (e.g., PII, PHI, Confidential), and retention schedules to ensure compliance with regulations like GDPR, CCPA, or HIPAA.
Furthermore, governance is the driver behind Master Data Management (MDM) and quality assurance. It mandates the use of data dictionaries and standardized schemas to prevent data silos and ensure a 'single source of truth.' It defines metrics for validity, completeness, and consistency. For a Data+ professional, understanding governance is vital because it guarantees that the data used for analysis is trustworthy. Without this framework, organizations risk 'garbage in, garbage out' scenarios, security breaches, and legal penalties, making governance the essential foundation for reliable business intelligence.In the context of the CompTIA Data+ V2 certification, Data Governance represents the overarching framework of authority, control, and decision-making exercised over the management of data assets. It is the strategic system ensuring that data is accurate, consistent, secure, and usable across an org…