Distributed computing system, Apache Spark architecture, modern data processing, scalable framework, clustered nodes, driver program, executor nodes, resilient distributed dataset, in-memory caching, iterative algorithms, batch processing, stream processing, graph processing, machine learning, real-time analytics, Hadoop ecosystem, YARN resource management, Mesos cluster management, standalone deployment, cloud-based deployment, Amazon S3 storage, HDFS storage, JSON data format, Avro data format, Parquet data format, spark UI web interface, metrics monitoring, Spark SQL module, DataFrames API, DataFrame operations, columnar storage, optimized query execution, big data processing, data warehousing.