Hadoop: Addressing challenges of Big Data

Hadoop: Addressing challenges of Big Data

                                   Hadoop: Addressing challenges of Big Data. Hadoop is an open source cloud computing platform of the Apache Foundation that provides a software programming framework called MapReduce and distributed file system, HDFS. It is a Linux based set of tools that uses commodity hardware, which are relatively inexpensive, to handle, analyze and transform large quantity of data.

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Hadoop Distributed File System, HDFS, stores huge data set reliably and streams it to user application at high bandwidth and MapReduce is a framework that is used for processing massive data sets in a distributed fashion over a several machines. This paper gives a brief overview of Big Data, Hadoop MapReduce and Hadoop Distributed File System along with its architecture.

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PHD - 24

M.TECH - 125

B.TECH -95

BIG DATA -110.

HADOOP -90.

ON-GOING Hadoop Projects

HADOOP MAP -90.

HADOOP YARN -27.

HADOOP HEBROS - 25.

HADOOP ZOOKEEPER -18.

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