Performance And Storage Solutions In Hadoop
In the era of big data, large amount of data affect our work and economic development. It provides an innovative
thinking and an approach to analyze and solve the problems related to data storage. Hadoop is an open source software
framework used for storing and processing huge data. Instead of SQL the tools Hive and Pig mess with Hadoop integration.
Map reduce is a storage solution to Hadoop. This paper gives the functionality of Secondary NameNode, importance of
Clusters and Grid Computing in Hadoop.
Keywords— Hadoop, HDFS, Hive, Pig, Secondary NameNode and Grid Computing.