Answer / Madhumeeta

Network Attached Storage (NAS) and Hadoop Distributed File System (HDFS) are both storage systems, but they have some key differences. NAS is a file-level storage system designed for providing shared access to files over a network, usually using standard network protocols like NFS or SMB. In contrast, HDFS is a distributed file system optimized for storing large amounts of data and handling high volumes of read and write operations. HDFS uses a master-slave architecture with a NameNode and DataNodes, and it uses its own file system format (HDFS format) to store data across the cluster.

What do you mean by the high availability of a namenode?

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File permissions in HDFS?

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If data is present in HDFS and RF is defined, then how can we change Replication Factor?

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What is throughput? How does HDFS get a good throughput?

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How does hdfs give great throughput?

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How data or a file is written into hdfs?

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How to create Users in hadoop HDFS?

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What is the difference betwaeen mapreduce engine and hdfs cluster?

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Which one is the master node in HDFS? Can it be commodity hardware?

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What is a block in HDFS? what is the default size in Hadoop 1 and Hadoop 2? Can we change the block size?

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What is throughput in HDFS?

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Why does hive not store metadata information in hdfs?

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