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Hadoop is an open-source framework designed for distributed storage and processing of large datasets across clusters of computers. Its architecture is fundamentally designed to handle the challenges posed by big data, such as volume, velocity, and variety. At the core of Hadoop's architecture is the Hadoop Distributed File System (HDFS) and its master/slave design, which together provide scalable, fault-tolerant, and efficient storage and computation. HDFS is the primary storage component of Hadoop. It is designed to store extremely large files by breaking them into smaller blocks and distributing them across multiple nodes in a cluster. The default block size is typically 128 MB or 256 MB, depending on the configuration. The system ensures that each block is replicated multiple times, commonly three replicas, across different DataNodes to maintain data reliability and fault tolerance. HDFS separates storage management from computation, allowing large datasets to be read and processed in parallel without overwhelming a single node. The Hadoop architecture follows a master/slave model, consisting of a single NameNode (master) ________ _________ ____ _______ ________ ______ ______.
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