Develop Spark apps on an EMR cluster in a private subnet over VPN and the VS Code remote SSH extension, with the cluster shared by several users.

Run a data warehousing ETL job with Apache Iceberg for storage and PySpark for processing in an EMR local environment, then verify results in Athena.

Create a Spark local development environment for Amazon EMR with Docker and Visual Studio Code, with Spark examples and Glue Catalog integration.

Create a development environment for AWS Glue 3.0 and later by building a custom Docker image, because AWS publishes no image for those versions.

Build development environments for AWS Glue 1.0 and 2.0 with the published Docker image and the Visual Studio Code Remote Containers extension.