I’m struggling to set up a batch data processing architecture with Spark, Docker, and Kubernetes, as shown in the attached diagram. The examples online are unclear and often don’t work.

Architecture Components:

•   Web UI: HUE UI
•   Processing Layer: Spark
•   Resource Layer: Hive
•   Storage Layer: Hadoop
•   Scheduling Layer: Airflow for orchestration and DAGs

Tools and Technologies:

•   Docker
•   Kubernetes
•   Apache Spark
•   Apache Hive
•   Apache Hadoop
•   Apache Airflow

Do you know of any training or documentation that could help me? Any guidance or example configurations would be greatly appreciated.