Architecture interplay can support data governance in several ways:
1. Data Architecture: The data architecture defines the structure and organization of data within an organization. It provides a blueprint for how data should be managed, stored, and accessed. Data governance policies can be integrated into the data architecture, ensuring that data is managed in a consistent and compliant manner.
2. Integration Architecture: Integration architecture defines how different systems and applications within an organization communicate with each other. It ensures that data is properly integrated and shared across the organization, minimizing duplication and inconsistency. Integration architecture can also enforce data governance policies, ensuring that data is secure and compliant.
3. Security Architecture: Security architecture defines the policies and procedures for securing data within an organization. It ensures that data is protected from unauthorized access, misuse, and theft. Security architecture can enforce data governance policies, ensuring that data is accessed only by authorized personnel and is protected in accordance with relevant regulations.
4. Infrastructure Architecture: Infrastructure architecture defines the hardware and software components that support an organization's data management activities. It ensures that the infrastructure is reliable, scalable, and available. Infrastructure architecture can also enforce data governance policies, ensuring that data is stored, backed up, and recovered in a consistent and compliant manner.
Overall, architecture interplay can support data governance by providing a foundation for data management activities and ensuring that data is managed in a consistent, compliant, and secure manner.
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