Extend the Apache Airflow Lambda invoke function operator with a correlation ID, so it reports the invocation result and the exact error message.

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.

Run a Hudi DeltaStreamer application on Amazon EMR, then query the resulting Hudi table with Athena and build a QuickSight dashboard on it.

Build change data capture on AWS with Amazon MSK and MSK Connect, streaming PostgreSQL row changes into the topics that feed the data lake.

Set up the source PostgreSQL database with an outbox table, then run Debezium and an S3 sink connector locally with Docker Compose.

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.

Run frequent Apache Airflow tasks on AWS Lambda instead of Celery workers or ECS, with a custom operator modelled on the ECS operator.