# Connect Studio JupyterLab notebooks to Amazon EMR with trusted identity propagation enabled
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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:
+  [Setting up trusted identity propagation for Studio](trustedidentitypropagation-setup.md) 
+  [Getting started with AWS IAM Identity Center integration for Amazon EMR](https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-idc-start.html) 
+  [Enable communications between Studio and Amazon EMR clusters](https://docs.aws.amazon.com/sagemaker/latest/dg/studio-notebooks-emr-cluster.html) 

 **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](https://docs.aws.amazon.com/sagemaker/latest/dg/connect-emr-clusters.html).