Amazon SageMaker Unified Studio

This repository contains utilities for Amazon SageMaker Unified Studio. It is structured as follows:

• Cloudformation
  • Templates to setup and Create a new Amazon SageMaker Unified domain and project
• Migration
  • Migrate Amazon Athena and Amazon EMR resources to SageMaker Unified Studio project.
  • Bring your own AWS Identity and Access Management (IAM) role in SageMaker Unified Studio project.
  • Bring your own Glue Data Catalog assets in SageMaker Unified Studio project.
  • Bring your own S3 tables in SageMaker Unified Studio project.
  • Migrate Amazon SageMaker AI resources to SageMaker Unified Studio project.
• Experimental CICD Pipeline support. This library supports creation of CICD pipeline using SageMaker Unified Studio that allows bundling and deploying code to different stages of development.
  • experimental/SMUS-CICD-pipeline-cli

To read more about Amazon SageMaker Unified Studio, please refer to:

• Administrator Guide
• User guide

Links

To learn more about use cases and hands-on instructions about Amazon SageMaker Unified Studio, we recommend to visit following blog posts.

• Introducing the next generation of Amazon SageMaker: The center for all your data, analytics, and AI: This is the launch news post of Amazon SageMaker Unified Studio.
• The next generation of Amazon SageMaker: The center for all your data, analytics, and AI: This is the launch news post of Amazon SageMaker Unified Studio.
• Author visual ETL flows on Amazon SageMaker Unified Studio: This post describes how to use visual ETL flow.
• An integrated experience for all your data and AI with Amazon SageMaker Unified Studio: This post describes how to get started for analytics workload.
• Introducing a new unified data connection experience with Amazon SageMaker Lakehouse unified data connectivity: This post describes how to create the new Lakehouse connection and use it from different engines.
• Simplify data access for your enterprise using Amazon SageMaker Lakehouse: This post describes how to configure federated access.
• Catalog and govern Amazon Athena federated queries with Amazon SageMaker Lakehouse: This post describes how to configure FGAC (Fine Grained Access Control) through SageMaker Lakehouse.

Security

See CONTRIBUTING for more information.

License

This library is licensed under the MIT-0 License. See the LICENSE file.