Answer / Shashi Ranjan

HDFS ensures data integrity by employing multiple strategies. Firstly, it uses checksums for data verification while reading and writing data. Secondly, HDFS stores replicas of each block across different DataNodes to improve fault tolerance. Lastly, HDFS employs a mechanism called the Block-level Fault Tolerance where the NameNode maintains an edit log (Edits Log) that records changes in file metadata and block locations. This allows for the recovery of lost data blocks.

What is the difference between namenode, backup node and checkpoint namenode?

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Explain the difference between mapreduce engine and hdfs cluster?

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What is the optimal block size in HDFS?

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How data or file is written into Hadoop HDFS?

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Would you be able to change the block size of hdfs files?

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Distinguish HDFS Block and Input Unit?

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Why do we need hdfs?

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Replication causes data redundancy then why is pursued in hdfs?

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What is a block in Hadoop HDFS? What should be the block size to get optimum performance from the Hadoop cluster?

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How to Delete file from HDFS?

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How to copy a file into HDFS with a different block size to that of existing block size configuration?

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