The Analytics of Big Data and Hadoop Architecture: A Literature Review
Authors: Anchal Pokharana, Krishankant Sharma and Samiksha Sharma
Publishing Date: 07-08-2022
ISBN: 978-81-955020-5-9
Abstract
We are living in an immensely created, specialized time, where the web is getting to be the major need of all people. Today, our social, individual, and in addition proficient life is rotating around the internet. Along these lines, bringing forth Big Data at a staggering force. Conventional administration apparatuses and systems are demonstrated, un-reasonable while managing Big Data. Big Data has actually been coined for and represents those useful & informational attributes of data whose volume, speed, and distinctiveness make them complex to be caught, worked with, or processed upon. So in order to manage this large data, the Hadoop platform comes into the picture. Hadoop is an open-source platform that ensures massive data management, and data regulation and also takes care of heavily enlarged data applications running in assembled systems. It is at the point of convergence of creating an organic network of colossal data which is on a very basic level and is used for advanced assessment exercises, including data mining and AI applications.
Keywords
Bigdata, Hadoop Framework, HDFS, MapReduce, Hadoop Component.
Cite as
Anchal Pokharana, Krishankant Sharma and Samiksha Sharma, "The Analytics of Big Data and Hadoop Architecture: A Literature Review", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2022, pp. 195-201. https://doi.org/10.52458/978-81-955020-5-9-20