Monday, May 18, 2015


12:12 PM - By ajay desai 0

Before knowing about Hadoop, we need to be aware about some basic terminologies: -

1) Node: - A computational resource which participates in a computational job by performing some
    computational tasks within a network is called node.

2) Cluster: - A group of nodes connected to each other through a common and dedicated network to form a distributed system is called cluster.

3) Hadoop node: - Any computational node which has both hadoop distributed file system (HDFS) and Map Reduce (MR) components in it is called as hadoop node.

4) Hadoop cluster: - A group of hadoop nodes connected to each other through a common and dedicated network is called as Hadoop Cluster. 

5) File System: - A file system is the underlying structure a computer uses to organize data on a hard disk.

Hadoop has two major components: -



                                                                     1) HDFS

HDFS stands for Hadoop Distributed file system, it is a shared file system used by by all the slave nodes of Hadoop distributed system. It is meant for Storage.

                                                                     2) MAPREDUCE

This component is used for data analysis. This component is implemented in Java programming language.

                                                                3) HADOOP CLUSTER

As seen in the cluster above, every computational node including the master node has two components: -

The main computational job is divided into a no of computational tasks and each task is handled by a slave node. In a hadoop cluster, the master node is called name node and all the slave nodes are called as data nodes. The name node is connected to all its data nodes through a common and dedicated network like VPN.

About the Author

I am Azeheruddin Khan having more than 6 year experience in c#, and ms sql.My work comprise of medium and enterprise level projects using and other Microsoft .net technologies. Please feel free to contact me for any queries via posting comments on my blog,i will try to reply as early as possible. Follow me @fresher2programmer
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