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💡 A suitable approach would be to first copy the NTFS files to an Amazon S3 bucket, and then access the files from your SageMaker notebook by reading them from the S3 bucket. This can be done using the AWS SDK for Python (Boto3) or other built-in methods in SageMaker.
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There are sample lifecycle config script to mount shared file system volume onto notebook instances:
https://github.com/aws-samples/amazon-sagemaker-notebook-instance-lifecycle-config-samples/blob/master/scripts/mount-efs-file-system/on-start.sh https://github.com/aws-samples/amazon-sagemaker-notebook-instance-lifecycle-config-samples/blob/master/scripts/mount-fsx-lustre-file-system/on-start.sh
They are not samples for NTFS, but hope these samples help.
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