DocumentCode
705002
Title
Handling Big Data Using NoSQL
Author
Bhogal, Jagdev ; Choksi, Imran
Author_Institution
Fac. of Comput., Eng. & the Built Environ., Birmingham City Univ., Birmingham, UK
fYear
2015
fDate
24-27 March 2015
Firstpage
393
Lastpage
398
Abstract
With the emergence of Big Data, the use of NoSQL (Not only SQL) technology is rising rapidly among internet companies and other enterprises. Benefits include simplicity of design, horizontal scaling and finer control over availability. NoSQL databases are increasingly considered a viable alternative to relational databases, as more organizations recognize that its schema less data model is a better method for handling the large volumes of structured, semi structured and unstructured data, being captured and processed today. For example NoSQL databases are often used to collect and store social media data. This paper aims to introduce the concepts behind NoSQL, provides a review of relevant literature, highlights the different NoSQL database types, and provide arguments for and against adopting NoSQL. A small prototype application has been developed to assess the stated NoSQL benefits and illustrate the differences between the SQL and NoSQL approaches. The last section of the paper offers some conclusions and recommendations for further research to expand upon our research work.
Keywords
Big Data; data handling; data structures; Internet companies; NoSQL databases; NoSQL technology; big data handling; design simplicity; horizontal scaling; not-only SQL technology; relational databases; schema less data model; semi structured data volume handling; social media data collection; social media data storage; structured data volume handling; unstructured data volume handling; Big data; Business; Data models; Distributed databases; Libraries; Relational databases; Big Data; NoSQL; SQL; databases; structured data; unstructured data;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Networking and Applications Workshops (WAINA), 2015 IEEE 29th International Conference on
Conference_Location
Gwangiu
Print_ISBN
978-1-4799-1774-7
Type
conf
DOI
10.1109/WAINA.2015.19
Filename
7096207
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