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.

Run Spark jobs on EMR on EKS, the EMR deployment option that provisions and manages open source big data frameworks, with simple and extended examples.

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

Run SparkR in Hive Context to reach the Hive UDFs and window functions the SQL Context lacks, compared against dplyr, plus building Spark with Hive.

Run SparkR in local and cluster mode from an R project, setting environment variables and the library path, then reading JSON and CSV files.

Set up a two node Spark standalone cluster on VirtualBox Ubuntu guests, covering machine preparation, copying the VDI image and password-less SSH.