Paper Title

A REVIEW ON PERFORMANCE EVALUATION OF SQL-ON-HADOOP SYSTEMS

Authors

Mansi Bhadoria , Dr. Sachin Goyal , Dr.Ratish Agarwal

Keywords

Hadoop, Hive, SQL, Mapreduce, SQL-on-Hadoop

Abstract

The quantity of data which is generated by various industries for business intelligence is emerging speedily, and to analyze these enormous quantity of complex facts is an expensive task by traditional analytical techniques.apache Hadoop is an open source solution for storage along with processing these large amount of complicated facts, Hadoop is being used in many companies like Facebook, Yahoo, etc. Apache hadoop employs HDFS to store up the data and mapreduce framework for processing facts on commodity hardware. In spite of this, the mapreduce framework supports java programming model which is very minimal level and developers needs to write complex and custom programs to deal with the records and these programs is troublesome to write, preserve and reprocess. In the view of this paper, we proposed apache Hive which is an open source data warehouse analytical solution integrated upon the hadoop. Hive supports SQL identical to declarative language entitled as HiveQL whose queries are compiled by hive compiler and then converted into mapreduce jobs which are achieved by means of hadoop. Within this paper we can also discuss the significance of SQL-on-hadoop system.

How To Cite

"A REVIEW ON PERFORMANCE EVALUATION OF SQL-ON-HADOOP SYSTEMS", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 6, page no.435 - 439, June-2018, Available :https://ijsdr.org/papers/IJSDR1806071.pdf

Issue

Volume 3 Issue 6, June-2018

Pages : 435 - 439

Other Publication Details

Paper Reg. ID: IJSDR_180430

Published Paper Id: IJSDR1806071

Downloads: 000347223

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR1806071

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1806071

About Publisher

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

Article Preview

academia
publon
sematicscholar
googlescholar
scholar9
maceadmic
Microsoft_Academic_Search_Logo
elsevier
researchgate
ssrn
mendeley
Zenodo
orcid
sitecreex