Types of Hadoop Clusters

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I heard that there are different types of clusters like Single Node,Pseudo Distributed and MultiNode. Can anyone explain me the difference between the three types of cluster.
Mar 26, 2018 in Big Data Hadoop by kurt_cobain
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1 answer to this question.

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Below is the difference given between Standalone, Pseudo Distributed and Fully Distributed Mode:

Standalone mode – Default mode of Hadoop which utilize local file system for input and output operations instead of HDFS and is mainly used for debugging purpose

Pseudo Distributed mode (Single node cluster) – Hadoop cluster will be set up on a single server running all Hadoop daemons on one node and is mainly used for real code to test in HDFS.

Fully Distributed mode (Multi node cluster) – Setting up Hadoop cluster on more than one server enabling a distributed environment for storage and processing which is mainly used for production phase
answered Mar 26, 2018 by nitinrawat895
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