References

Please see the following references for general AWS best practices on governance and multi-account strategies, as well as information specific to SageMaker features: 

• Establishing best practices in your AWS environment : https://aws.amazon.com/organizations/getting-started/best-practices/
• AWS Control Tower – AWS services to establish and manage multiple AWS accounts: https://aws.amazon.com/controltower/
• SageMaker – Deploying a model to a different AWS account: https://aws.amazon.com/premiumsupport/knowledge-center/sagemaker-cross-account-model/
• SageMaker Data Wrangler – Enable cross-account access: https://aws.amazon.com/blogs/machine-learning/enable-cross-account-access-for-amazon-sagemaker-data-wrangler-using-aws-lake-formation/
• SageMaker Pipelines – Multi-account deployments: https://aws.amazon.com/blogs/machine-learning/multi-account-model-deployment-with-amazon-sagemaker-pipelines/
• SageMaker Feature Store...