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:
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Optional: Grant your users permissions to upload their files locally.
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Set up Okta SSO for your users.
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Update SageMaker Canvas.
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Clean up or delete the installation of SageMaker Canvas.
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Optional: Set up Amazon Forecast so users can do time series forecasting.
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Optional: Set up an Amazon Virtual Private Cloud.
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Optional: Encrypt data using AWS Key Management Service.
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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
- Store SageMaker Canvas application data in your own SageMaker space
- 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