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Foundational blocks of Amazon SageMaker Unified Studio: An admin’s guide to implement unified access to all your data, analytics, and AI
- Amazon SageMaker Unified Studio provides a unified experience for data, analytics, and AI capabilities within a single environment.
- It allows end-to-end workflow creation and execution from a single interface, facilitating collaboration between different personas while maintaining governance.
- The platform is organized into infrastructure, data factory, and product experience planes for distinct functionalities and roles.
- Admins focus on foundational building blocks, such as onboarding, organizing, and authorizing users for infrastructure setup.
- Roles of domain owners include creating domains, hierarchies, and managing user policies for efficient governance.
- Deployment steps involve creating a domain, onboarding users, authorizing access, and associating AWS accounts for multi-account scenarios.
- User management includes onboarding SSO users, IAM users, and IAM roles, alongside creating and authorizing project profiles.
- Project profiles determine infrastructure components, and blueprints enable resource provisioning for data and ML operations.
- The process workflow involves enabling blueprints, creating project profiles, and deploying necessary infrastructure resources.
- Cleanup steps involve removing resources like AWS Glue databases, Athena workgroups, and CloudFormation stacks to mitigate costs.
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