Paper Title
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.