Investigating Scope of NoSQL Approach Using Hadoop Platform

dc.contributor.author	Shuvo, Rohul Amin
dc.contributor.author	Zohora, Fatema Tuz
dc.date.accessioned	2017-03-20T05:37:42Z
dc.date.available	2017-03-20T05:37:42Z
dc.date.issued	5/14/2016
dc.identifier.uri	http://dspace.ewubd.edu/handle/2525/2116
dc.description	This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh	en_US
dc.description.abstract	With the current emphasis on huge data storing, NoSQL database have surged in popularity. Big data is used for massive data sets having large and complex structure with difficulties of storing, analyzing and visualizing for further results. These databases are claimed to perform better than SQL databases. The primary purpose of this project is to independently investigate the performance of some NoSQL and SQL-based approach. We used maximum, minimum and average operations on keyvalue stores implemented by NoSQL and SQL databases. In these project we used synthetically generated temperature data for experimental purpose.	en_US
dc.language.iso	en_US	en_US
dc.publisher	East West university	en_US
dc.relation.ispartofseries	;CSE00090
dc.subject	NoSQL Approach Using Hadoop Platform	en_US
dc.title	Investigating Scope of NoSQL Approach Using Hadoop Platform	en_US
dc.type	Thesis	en_US