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.
- SMUS 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.
To read more about Amazon SageMaker Unified Studio, please refer to:
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.
See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.