Answer / Dipesh Kumar Chaudhary

HDFS (Hadoop Distributed File System) and HBase are both open-source data storage systems built on top of the Hadoop ecosystem, but they serve different purposes. HDFS is a distributed file system designed for storing large amounts of data and processing them using MapReduce jobs. It provides high fault tolerance through data replication and handles structured as well as unstructured data. On the other hand, HBase is a NoSQL database that runs on top of HDFS. It is optimized for random read/write access to large amounts of sparse data and is designed for real-time data processing with low latency.

Why HDFS performs replication, although it results in data redundancy?

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Why HDFS?

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How much Metadata will be created on NameNode in Hadoop?

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What is the difference between nas (network attached storage) and hdfs?

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How does hdfs get a good throughput?

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What is Block in HDFS?

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What are file permissions in HDFS and how HDFS check permissions for files or directory?

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How to split single hdfs block into partitions rdd?

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Replication causes data redundancy then why is pursued in hdfs?

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How to Delete directory from HDFS?

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What do you mean by the High Availability of a NameNode in Hadoop HDFS?

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Explain the hdfs architecture?

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