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Best Practices for Effective Data Governance

A key outcome of data governance is comprehensive auditing of your system, including full visibility into data usage. This paper explains best practices to help you address:

• Capturing and managing metadata
• Enforcing access control
• Anonymizing sensitive data
• Capturing data lineage and audit activity
• Tracking data quality

Please complete the brief form above to access the white paper.

Key Concerns for Effective Data Governance

A key outcome of data governance is comprehensive auditability of the system, including full visibility into data usage. This data includes tracking datasets by how often they are used, as well as ensuring their usage complies with industry privacy standards and regulation.

Fundamental Capabilities for a Governed System

Learn more about the three for creating a unified governance model: metadata management, access control, and auditing.

capability.

Benefits of a Unified Governance Strategy

Consider what’s possible in a data lake where the concerns of storage and compute services are brought together through a central data platform service layer.