Apache Spark and Hadoop are two prominent distributed computing frameworks widely used in big data processing. Understanding the relationship between these technologies requires a foundational grasp of their architectures, operational paradigms, and their interoperability, particularly in the context of managed cloud services like Google Cloud Dataproc. Historical and Architectural Context Hadoop, introduced in the mid-2000s,