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 is responsible for managing the metadata of the filesystem. This metadata includes information about file names, file permissions, directory _________ _________ ____ _____ ________ _______ _________ _____ _______ _____.
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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 is responsible for managing the metadata of the filesystem. This metadata includes information about file names, file permissions, directory _________ _________ ____ _____ ________ _______ _________ _____ _______ _____.
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