Amazon EMR Serverless now supports AWS Lake Formation for fine-grained data access control with Apache Spark. This enables you to enforce database, table, column, row and cell-level policies for data stored in Amazon S3 from your EMR Serverless Spark jobs. Policies that you define in Lake Formation take effect when you run Spark applications using EMR Studio, AWS CLI, or job orchestrators such as Amazon Managed Workflows for Apache Airflow and AWS Step Functions.
Source:: Amazon AWS