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What are the three modes that hadoop can Run?

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What are the three modes that hadoop can Run?

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  • Local Mode or Standalone Mode
    Hadoop, by default, is configured to run in a no distributed mode. It runs as a single Java process. Instead of HDFS, this mode utilizes the local file system. This mode is more helpful for debugging, and there isn't any requirement to configure core-site.xml, hdfs-site.xml, mapred-site.xml, masters & slaves. Stand-alone mode is ordinarily the quickest mode in Hadoop.
  • Pseudo-distributed Model
    In this mode, each daemon runs on a separate java process. This mode requires custom configuration ( core-site.xml, hdfs-site.xml, mapred-site.xml). The HDFS is used for input and output. This mode of deployment is beneficial for testing and debugging purposes.
  • Fully Distributed Mode
    It is the production mode of Hadoop. Basically, one machine in the cluster is designated as NameNode and another as Resource Manager exclusively. These are masters. Rest nodes act as Data Node and Node Manager. These are the slaves. Configuration parameters and environment need to be defined for Hadoop Daemons. This mode gives fully distributed computing capacity, security, fault endurance, and scalability.

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