Introducing one-click onboarding of existing datasets to Amazon SageMaker
News
This article announces one-click onboarding of existing AWS datasets to Amazon SageMaker Unified Studio, enabling rapid data access and analysis.
- One-click onboarding from SageMaker, Athena, Redshift, and S3 Tables consoles
- Serverless notebook with AI agent supporting SQL, Python, Spark, natural language
- Automatic IAM permission configuration from Glue, Lake Formation, S3
- Pre-configured notebook and serverless compute for immediate use
- Access to Query Editor, JupyterLab, Visual ETL, ML capabilities
- Foundation model discovery, customization, MLflow experimentation, deployment
- Available in nine AWS regions globally
SageMaker Unified Studio now enables data professionals to start working with existing datasets in minutes without manual configuration.
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