Data analytics through Hadoop eco-components

Laxmi Lydia, E. (57196059278) and Somasundaram, K. (57196055256) and Krishan Mohan, A. (57196058805) (2017) Data analytics through Hadoop eco-components.

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Abstract

With the Today’s Interpreters world, Hadoop disbursed File approach (HDFS) is totally good identified. It gives method to put up information in conveyed problem and also it has a set of additional devices to get well and prepare. These information arranges appropriate advisor to cut down thought. In this paper, With Pig and Hive, Hadoop dispersed file framework is developed. Expertise performs investigation on big understanding and it is carried with the help of Intensive examination. Apache Pig and Hive are two enterprises that are mounted on high of Hadoop, and bring up more multiplied amount dialect to effect Hadoop's MapReduce library. Here, as a matter of first simplification, this paper proposes the major recommendations for MapReduce, Pig and Hive. And also it does the assessment of efficiency. © 2017 Elsevier B.V., All rights reserved.

Item Type: Article
Subjects:
Divisions: Engineering and Technology > Vinayaka Mission's Kirupananda Variyar Engineering College, Salem > Information Technology
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 11 Dec 2025 06:04
URI: https://vmuir.mosys.org/id/eprint/4740

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