Connect Studio JupyterLab notebooks to Amazon EMR with trusted identity propagation enabled - Amazon SageMaker AI
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Connect Studio JupyterLab notebooks to Amazon EMR with trusted identity propagation enabled

Connecting Amazon SageMaker Studio JupyterLab notebooks to Amazon EMR clusters enables you to leverage the distributed computing power of Amazon EMR for large-scale data processing and analytics workloads. With trusted identity propagation enabled, your identity context is propagated to Amazon EMR, allowing for fine-grained access control and comprehensive audit trails. The following page provides instructions on how to connect your Studio notebook to Amazon EMR clusters. Once set up, you can use the Connect to Cluster option in your Studio notebook.

To connect Studio to Amazon EMR with trusted identity propagation enabled, ensure you have completed the following setups:

Connect to the Amazon EMR cluster

For a full list of options on how to connect your JupyterLab notebook to Amazon EMR, see Connect to an Amazon EMR cluster.