• K.Jeyanthi
• S.Samundeeswari

To handle huge data of structured, semi-structured and unstructured data. Big data Hadoop places a vital role to reduce the data by mapping. Big data designates several tools to store, manage, and distribute huge data. Hadoop is an open source software that handles distributed the large set of data acquires several services servers. To scale up from a single server to thousands of servers various techniques are used for fault tolerance. Big data analytics has a concept to manage the life cycle of data as well as privacy and security of data. This paper reviews the data storage domain and map-reduce paradigm for large data sets.

Big Data, Hadoop, Components of Hadoop

"Storing and Processing of Big Data Using Hadoop", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.24-27, May-2019, Available :http://www.jetir.org/papers/JETIRCI06005.pdf

"Storing and Processing of Big Data Using Hadoop", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp24-27, May-2019, Available at : http://www.jetir.org/papers/JETIRCI06005.pdf