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 is the optimal block size in HDFS?

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Explain how indexing in hdfs is done?

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What is a block?

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What happens when two users try to access to the same file in HDFS?

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Define HDFS and talk about their respective components?

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What is the difference betwaeen mapreduce engine and hdfs cluster?

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What is NameNode and DataNode in HDFS?

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How does hdfs get a good throughput?

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Is the hdfs block size reduced to achieve faster query results?

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Replication causes data redundancy and consume a lot of space, then why is it pursued in hdfs?

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How to remove safemode of namenode forcefully in HDFS?

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Explain what is a difference between an input split and hdfs block?

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