AWS next-generation-sagemaker documentation change
Summary
Updated Lake Formation permissions reference link with corrected URL path
Security assessment
Link formatting correction. No security vulnerabilities addressed or security features documented.
Diff
diff --git a/next-generation-sagemaker/latest/userguide/lakehouse-athena-federated-queries.md b/next-generation-sagemaker/latest/userguide/lakehouse-athena-federated-queries.md index 562f63971..cd9ded359 100644 --- a//next-generation-sagemaker/latest/userguide/lakehouse-athena-federated-queries.md +++ b//next-generation-sagemaker/latest/userguide/lakehouse-athena-federated-queries.md @@ -248 +248 @@ For example, run the following query. Replace `your_federated_catalog_name` with -Access to the data source in the SageMaker Unified Studio project is governed by the policies for the project role. Users whoever become the member of this admin project use the same project role ARN and have the same full access level permissions to the data source. For more information about how to add members to your projects, see [Add project members](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/add-project-members.html) in the _Amazon SageMaker Unified Studio User Guide_. To grant fine-grained access permissions to [different user personas](https://docs.aws.amazon.com/lake-formation/latest/dg/permissions-reference.html#lf-personas), such as data analysts, create a separate data analyst project and add the data analyst users as project members of the data analyst project. Step 2 shows how to set up the fine-grained permissions. +Access to the data source in the SageMaker Unified Studio project is governed by the policies for the project role. Users whoever become the member of this admin project use the same project role ARN and have the same full access level permissions to the data source. For more information about how to add members to your projects, see [Add project members](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/add-project-members.html) in the _Amazon SageMaker Unified Studio User Guide_. To grant fine-grained access permissions to [different user personas](https://docs.aws.amazon.com//lake-formation/latest/dg/permissions-reference.html#lf-personas), such as data analysts, create a separate data analyst project and add the data analyst users as project members of the data analyst project. Step 2 shows how to set up the fine-grained permissions.