A Review Paper on Big Data and HADOOP Architecture

Sanket Gupta , Nand Kishore Sharma , Sonali Jain , Sachin Sohra

Hadoop, Big Data, MapReduce, Distributed System, Node, Cluster

we are at a very high rate, on-command, on-demand entities, individuals and machines with data prolife ring live in the digital era. This data is known as Big Data due to its steep Volume, Variety, Velocity and Veracity. The mass of this data is unstructured, semi structured and it is heterogeneous in nature. In order for a cheap and efficient way to process vast amounts of data, parallelism is used. Big data is a collection of huge and multifaceted data sets that include the huge quantities of data, analysis of social data management capabilities, real-time data. The data is generated from various different sources and at different rates in the system can access. Hadoop and HDFS by Apache are commonly used for storing and managing Big Data. Hadoop is the main platform for processing Big Data, and solve the problem of making it useful for analysis purposes. Hadoop is an open source software project that capable the distributed processing of big data sets among clusters. It is designed to scale up from a single server to many machines, with a very high degree of fault tolerance. Map Reduce is widely been used for the efficient analysis of Big Data. In this research author review various aspects of big data and hadoop architecture.

Published Paper   E-Certificate

"A Review Paper on Big Data and HADOOP Architecture", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 5, page no.308 - 312, May-2016, Available :https://ijsdr.org/papers/IJSDR1605060.pdf

Volume 1 Issue 5, May-2016

Pages : 308 - 312

Paper Reg. ID: IJSDR_160298

Published Paper Id: IJSDR1605060

Downloads: 000347065

Research Area: Engineering

Country: Indore, M.P., India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1605060

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1605060

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition