Best practices for OneLake security

 

Best practices for OneLake security


Protecting your data in OneLake is crucial. This article delves into best practices to ensure your data's security, focusing on three primary principles: least privilege, secure by workload, and secure by use case.



Implementing Least Privilege

The concept of least privilege emphasizes limiting user permissions to only what is necessary for their roles. In OneLake, this entails:

  • Specific Permissions: Grant permissions precisely at the required level to avoid excess access. Use the share feature to provide access to specific lakehouses or data items, rather than entire workspaces.
  • Data Access Roles (Preview): Utilize OneLake data access roles to limit access to particular folders and tables within a lakehouse. This feature ensures users only access necessary items.

Securing by Workload

Fabric offers the ability to configure security based on specific data workloads. Here's how to implement secure access by workload:

  • Apache Spark/OneLake Access: For users interacting with data via notebooks or pipelines, share the lakehouse and use OneLake data access roles to manage folder-specific read permissions. Users requiring write access should have Admin, Member, or Contributor roles.
  • SQL Analytics Endpoints: For SQL query access, share the lakehouse and use SQL GRANT permissions to specify table access. Alternatively, grant ReadData for full read access, with SQL DENY permissions to restrict as necessary.
  • Semantic Models: Define security through DAX expressions in the Semantic Model for users connecting via reports. Share the reports accordingly to control access.

Tailoring Security by Use Case

Different users need varying permissions based on their responsibilities. Here are some common scenarios:

  • Workspace Management: Admin or Member roles are essential for managing workspace access.
  • Item Creation: Admin, Member, or Contributor roles can create, delete, and configure items, including OneLake data access roles.
  • Data Writing: Admin, Member, or Contributor roles can write data to OneLake or a warehouse. For writing data to a warehouse, specific SQL permissions are required.
  • Data Reading: Workspace Viewers or users with Read and ReadAll permissions can read data from OneLake. For lakehouses with OneLake data access roles enabled, manage access through these roles instead of ReadAll.

Conclusion

By adhering to these best practices, you can significantly enhance the security of your data in OneLake. Ensuring that users have only the access they need helps protect sensitive information and maintain data integrity.


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