To create governed SQL views in Pylar, utilize the data access layer to design authorized subsets of your database tables. This approach prevents agents from directly accessing raw data, ensuring secure and controlled query execution while maintaining compliance with data governance policies.

Key Points

• Utilize the data access layer for security.
• Create authorized subsets of database tables.
• Enhance compliance with data governance policies.

Detailed Explanation

Creating governed SQL views in Pylar involves several steps to ensure that data is accessed securely and efficiently. The data access layer acts as a protective barrier between your SQL database and end-users. Here’s how to effectively create these views:

1. Define Data Access Policies: Start by establishing clear data access policies that specify who can view what data. This is crucial for compliance with regulations like GDPR or HIPAA.

2. Design Authorized Subsets: Use the data access layer to create views that only include the fields necessary for specific roles or tasks. For example, if a user only needs access to customer names and emails, create a view that excludes sensitive information like credit card numbers.

3. Implement Row-Level Security: Leverage row-level security features in your SQL setup to restrict access to specific rows based on user roles. This can be configured in Pylar to ensure that users can only query data relevant to them.

4. Test Your Views: After creating your SQL views, conduct thorough testing to ensure that the correct data is displayed based on user permissions. Use test accounts mimicking different roles to validate access.

5. Document Your Views: Comprehensive documentation of each view, including its purpose and the data it contains, is essential. This aids in maintenance and helps onboard new team members.

Example Use Case

Imagine a healthcare application where doctors need access to patient records. By creating a governed SQL view, you can allow doctors to access only the necessary patient information while ensuring that sensitive data like social security numbers remains protected.

Best Practices / Tips

• Regularly Review Access Permissions: Periodically audit who has access to which views to ensure compliance and security.
• Avoid Over-Privileging: Be cautious about granting excessive access. Stick to the principle of least privilege to minimize risk.
• Utilize Logging: Implement logging mechanisms to track access and changes to governed SQL views. This can help in auditing and identifying potential security breaches.

Additional Resources

• Pylar Official Documentation - For in-depth guidance on using the data access layer.
• SQL Server Row-Level Security - Learn more about implementing row-level security in SQL.
• Data Governance Best Practices - Explore strategies for effective data governance.