Explain Hadoop File System(HDFS) with its feature.

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Hadoop File System(HDFS)

 The Hadoop File System was created with a distributed file system design. It runs on standard hardware. In contrast to other distributed systems, HDFS is extremely faulted tolerant and built with low-cost hardware. HDFS stores a big quantity of data and makes it easy to access. To store such large amounts of da the files are spread over numerous computers. These files are kept in a redundant form to protect the system from data loss in the event of a breakdown. HDFS also enables parallel processing of applications.

Hadoop applications use the Hadoop Distributed File Solution (HDFS) as their primary data storage system. It implements a distributed file system that allows high-performance access to data across highly scalable Hadoop clusters using a NameNode and DataNode architecture. HDFS is an important component of the numerous Hadoop ecosystem technologies since it provides a dependable way of maintaining massive data pools and supporting associated big data analytics applications.


Features of HDFS

  • It is suitable for distributed storage and processing. 
  • Hadoop provides a command interface to interact with HDFS.
  • The built-in servers of namenode and datanode help users to easily check the status of the cluster. 
  • Streaming access to file system data.
  • HDFS provides file permissions and authentication.




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