Question
Explain the Hadoop Distributed File System (HDFS) architecture with a diagram. Describe the role of NameNode and DataNodes in storing and retrieving large-scale datasets.
Answer :
Word Count : 556
Hadoop Distributed File System (HDFS) is a core component of the Hadoop ecosystem, designed to store and process massive datasets across a distributed cluster of commodity hardware. HDFS follows a master-slave architecture that allows it to handle large-scale data reliably and efficiently. The architecture is highly fault-tolerant and optimized for high-throughput data access rather than low-latency data retrieval, making it suitable for big data analytics and batch processing workloads. The HDFS architecture consists of two primary types of nodes: the NameNode and the DataNodes. The NameNode acts as the master node and _________ _______ _____ _____ ________ _________ _____ ____ ___ ________.
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Hadoop Distributed File System (HDFS) is a core component of the Hadoop ecosystem, designed to store and process massive datasets across a distributed cluster of commodity hardware. HDFS follows a master-slave architecture that allows it to handle large-scale data reliably and efficiently. The architecture is highly fault-tolerant and optimized for high-throughput data access rather than low-latency data retrieval, making it suitable for big data analytics and batch processing workloads. The HDFS architecture consists of two primary types of nodes: the NameNode and the DataNodes. The NameNode acts as the master node and _________ _______ _____ _____ ________ _________ _____ ____ ___ ________.
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