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Last updated: 2024-11-19
Understanding the distinctions between data governance, management, and security is essential for effective data handling and protection. The table below highlights these differences, including relevant Microsoft products and usage examples.
| Category | Definition | Focus | Activities | Microsoft Products | Examples of Use |
|---|---|---|---|---|---|
| Data Governance | Establishes policies, procedures, and standards for data usage and protection. | Ensures data is managed as a critical asset. | Setting data policies, data quality standards, compliance measures, data stewardship. | Microsoft Purview | Defining data policies for compliance with GDPR, managing data lineage. |
| Data Management | Encompasses the entire lifecycle of data, from creation to disposal. | Implements policies and procedures for data. | Data preparation, data pipelines, ETL processes, data cataloging, data warehousing. | Azure Data Factory, Azure Synapse Analytics | Building data pipelines for ETL, managing a data warehouse for business analytics. |
| Data Security | Protects data from unauthorized access, breaches, and other threats. | Ensures confidentiality, integrity, availability of data. | Implementing encryption, access controls, monitoring for threats. | Azure Security Center, Azure Sentinel | Encrypting sensitive data, monitoring for security breaches, setting access controls. |
