SageMaker canvas - Model Build/Analyze

I apologize for the inconvenience you're experiencing with SageMaker Canvas. The error message you're seeing is a general error that can occur for various reasons, and it's not specifically related to your dataset quality.

Given that your dataset appears to be valid and properly formatted, the issue is likely on the SageMaker Canvas service side or related to your account configuration. Here are a few suggestions to troubleshoot the problem:

1. Wait and retry: As the error message suggests, try again after a few minutes. Sometimes temporary service issues can resolve themselves.

2. Check your permissions: Ensure that your IAM user or role has the necessary permissions to use SageMaker Canvas and access the required resources.

3. Verify your SageMaker Domain setup: Make sure your SageMaker Domain is correctly configured and that there are no issues with your VPC or security groups that might be blocking SageMaker Canvas from accessing necessary resources.

4. Check service quotas: Verify that you haven't exceeded any service quotas for SageMaker or related services.

5. Contact AWS Support: If the issue persists, the best course of action is to contact AWS Support as suggested in the error message. Provide them with the error code (829b7b6a-3864-47c9-bbb2-2cd3163548fa) you received. They will have access to more detailed logs and can investigate the specific cause of the error in your account.

6. Check for any ongoing service issues: You can check the AWS Service Health Dashboard to see if there are any known issues with SageMaker or related services in your region.

Remember, SageMaker Canvas charges based on the duration of your session, so it's a good practice to sign out when you're not using it to avoid unnecessary charges.

If none of these steps resolve the issue, reaching out to AWS Support with the provided error code is your best option for a resolution.
Sources
No-code Machine Learning - Amazon SageMaker Canvas FAQs - AWS
Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard | AWS Machine Learning Blog