Integrate Amazon EMR with Amazon Lake Formation - Amazon EMR
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.

Integrate Amazon EMR with Amazon Lake Formation

Amazon Lake Formation is a managed service that helps you discover, catalog, cleanse, and secure data in an Amazon Simple Storage Service (S3) data lake. Lake Formation provides fine-grained, column-level access to databases and tables in the Amazon Glue Data Catalog. For more information, see What is Amazon Lake Formation?

With Amazon EMR release 6.7.0 and later, you can apply Lake Formation-based access control to Spark, Hive, and Presto jobs that you submit to Amazon EMR clusters. To integrate with Lake Formation, you must create an EMR cluster with a runtime role. A runtime role is an Amazon Identity and Access Management (IAM) role that you associate with Amazon EMR jobs or queries, and then Amazon EMR uses this role to access Amazon resources. For more information, see Runtime roles for Amazon EMR steps.

How Amazon EMR works with Lake Formation

After you integrate Amazon EMR with Lake Formation, you can execute queries to Amazon EMR clusters with the Step API or with SageMaker Studio. Then, Lake Formation provides access to data through temporary credentials for Amazon EMR. This process is called credential vending. For more information, see What is Amazon Lake Formation?

The following is a high-level overview of how Amazon EMR gets access to data protected by Lake Formation security policies.


				How Amazon EMR access data protected by Lake Formation security policies
  1. A user submits an Amazon EMR query for data in Lake Formation.

  2. Amazon EMR requests temporary credentials from Lake Formation to give the user data access.

  3. Lake Formation returns temporary credentials.

  4. Amazon EMR sends the query request to retrieve data from Amazon S3.

  5. Amazon EMR receives the data from Amazon S3, filters it, and returns results based on the user permissions that the user defined in Lake Formation.

For more information about adding users and groups to Lake Formation policies, see Granting Data Catalog permissions.

Prerequisites

You must meet the following requirements before you integrate Amazon EMR and Lake Formation:

  • Enable runtime role authorization on your Amazon EMR cluster.

  • Use the Amazon Glue Data Catalog as your metedata store.

  • Define and manage permissions in Lake Formation to access databases, tables, and columns in Amazon Glue Data Catalog. For more information, see What is Amazon Lake Formation?