Tutorials for EMR Serverless

This section describes common use cases when you work with EMR Serverless applications. This includes a variety of tools including Hudi and Iceberg for working on large data sets and using Python and Python libraries to submit Spark jobs.

Topics

• Using Java 17 with Amazon EMR Serverless

• Using Apache Hudi with EMR Serverless

• Using Apache Iceberg with EMR Serverless

• Using Python libraries with EMR Serverless

• Using different Python versions with EMR Serverless

• Using Delta Lake OSS with EMR Serverless

• Submitting EMR Serverless jobs from Airflow

• Using Hive user-defined functions with EMR Serverless

• Using custom images with EMR Serverless

• Using Amazon Redshift integration for Apache Spark on Amazon EMR Serverless

• Connecting to DynamoDB with Amazon EMR Serverless