Create an Amazon EMR cluster from Studio Classic notebooks
Administrators can use AWS Service Catalog to define AWS CloudFormation templates of Amazon EMR clusters as products of a portfolio, then make them available to selected users. Using the Service Catalog, administrators can fully control the organizational, security, and networking setup of Amazon EMR clusters. Data scientists and data engineers can then view, select, and customize those templates for their specific workloads to create on-demand Amazon EMR clusters directly from their SageMaker Studio Classic notebooks. This can be done without manually setting up complex configurations. Users can also terminate Amazon EMR clusters from Studio Classic notebooks after use.
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If you are an administrator looking to configure AWS CloudFormation templates as AWS Service Catalog products so users can create Amazon EMR clusters from Studio Classic, see Configure Amazon EMR templates in AWS Service Catalog (for administrators).
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If you are a data scientist or data engineer looking to self-provision an Amazon EMR cluster to process data at scale using open-source frameworks such as Apache Spark, Apache Hive, or Presto, see Launch an Amazon EMR cluster from Studio Classic.
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If you are looking to discover and connect to existing Amazon EMR clusters from Studio Classic, see Use Amazon EMR clusters from Studio Classic notebooks.
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