Master QuickSight Row Level Security for Data Protection

Learn how to implement QuickSight row level security to restrict data access based on user roles and enhance security.

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Hello, I'm Dylan, a cloud developer at West Loop Strategy, an AWS partner. Today, we’ll explore how to use QuickSight row level security (RLS) to enforce data access controls.

What is QuickSight Row Level Security?

QuickSight row level security (RLS) ensures that users only see the data they are authorized to access.

By implementing RLS, you follow the principle of least privilege, restricting data visibility based on user roles.

Setting Up RLS in QuickSight

To implement RLS, you need to create a dataset that includes:

  • Usernames or user groups.
  • The fields requiring data restrictions.

Once created, attach the RLS dataset to the datasets powering your QuickSight dashboards.

Since RLS only works at the dataset level, users not included in the RLS dataset will see no data in the dashboard.

Managing User Access

For admin-level users who need full data access, leave the row value empty in the RLS dataset.

If a user has permissions for multiple row values, separate them with a comma.

This approach ensures controlled yet flexible access across different user roles.

Best Practices for RLS

  • Regularly update the RLS dataset to reflect user access changes.
  • Test RLS configurations with different user roles before deployment.
  • Use group-based permissions for easier management.

Conclusion

QuickSight row level security provides a powerful way to enforce data access restrictions.

For more insights or QuickSight training, visit our website or follow us on LinkedIn.

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