Apache Spark Architecture & Fun Facts π₯
At its core, Spark has a simple but powerful architecture:
πΉ Driver Program β Controls the application.
πΉ Cluster Manager β Allocates resources (YARN, Mesos, Standalone, Kubernetes).
πΉ Executors β Run tasks on worker nodes.
πΉ RDDs (Resilient Distributed Datasets) β The magic behind fault-tolerance & parallelism.
β¨ Interesting Facts:
β’ Spark stores intermediate data in memory = β‘ super fast.
β’ Fault-tolerant by design β if a node fails, Spark rebuilds data.
β’ Supports batch, streaming, ML, and graph in one framework.
π‘ Spark = A powerhouse of speed + scalability in Big Data!
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