Setting Up and Managing Amazon SageMaker Canvas (for IT Administrators)

You can use the information in this section to help your users do the following:

• Optional: Grant your users permissions to upload their files locally.

• Set up Okta SSO for your users.

• Update SageMaker Canvas.

• Clean up or delete the installation of SageMaker Canvas.

• Optional: Set up Amazon Forecast so users can do time series forecasting.

• Optional: Set up an Amazon Virtual Private Cloud.

• Optional: Encrypt data using AWS Key Management Service.

• Optional: Grant your users permissions to import Amazon Redshift data.

You can also set up SageMaker Canvas for your users with AWS CloudFormation. For more information, see AWS::SageMaker::App in the AWS CloudFormation User Guide.

Topics

• Grant Your Users Permissions to Upload Local Files
• Set Up SageMaker Canvas for Your Users
• Configure your Amazon S3 storage
• Grant permissions for cross-account Amazon S3 storage
• Encrypt Your SageMaker Canvas Data with AWS KMS
• Grant Your Users Permissions to Build Custom Image and Text Prediction Models
• Grant Your Users Permissions to Perform Time Series Forecasting
• Grant Users Permissions to Fine-tune Foundation Models
• Update SageMaker Canvas for Your Users
• Request a Quota Increase
• Grant Users Permissions to Import Amazon Redshift Data
• Grant Users Permissions to Collaborate with Studio Classic
• Grant Your Users Permissions to Send Predictions to Amazon QuickSight
• Manage applications
• Configure Amazon SageMaker Canvas in a VPC without internet access
• Set up connections to data sources with OAuth