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
