SageMakerStudioExecutionRole

aws-solutions-library-samples / guidance-for-multi-modal-data-analysis-with-aws-health-and-ml-services

An end-to-end framework for storing, integrating, and analyzing multimodal HCLS data on AWS, using AWS HealthOmics, AWS HealthLake, AWS HealthImaging, Amazon SageMaker, Amazon Athena, Amazon QuickSight, and Amazon S3.

https://aws.amazon.com/solutions/guidance/multi-modal-data-analysis-with-aws-health-and-ml-services/

MIT No Attribution

13 stars 4 forks source link

SageMakerStudioExecutionRole #8

Open hmkim opened 1 year ago

hmkim commented 1 year ago

SageMakerStudioExecutionRole requires an appropriate permission policy in my case.

AWSStepFunctionsFullAccess
AWSCodePipeline_FullAccess
AWSCodeCommitFullAccess
AWSCodeBuildAdminAccess
AmazonEC2ContainerRegistryFullAccess

For security purposes, you'll want to grant minimal permissions, but this was a test.