Handling Big Data Using NoSQL

Bhogal, J. and Choksi, I. (2015) Handling Big Data Using NoSQL. In: IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015, 25 March 2015 through 27 March 2015, Gwangju; South Korea.

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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. © 2015 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Unmapped bibliographic data: C7 - 7096207 [EPrints field already has value set] AD - Faculty of Computing, Engineering and the Built Environment, School of Computing, Telecommunication and Networks, Birmingham City University, United Kingdom [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] A4 - IEEE Technical Committee on Distributed Processing (TCDP) [Field not mapped to EPrints] C3 - Proceedings - IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015 [Field not mapped to EPrints]
Uncontrolled Keywords: Big Data, databases, NoSQL, SQL, structured data, unstructured data, Data handling, Database systems, Software prototyping, Horizontal scaling, NoSQL, Relational Database, Semi-structured, Social media datum, SQL, Structured data, Unstructured data, Big data
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Enterprise Systems
UoA Collections > UoA11: Computer Science and Informatics
Depositing User: Yasser Nawaz
Date Deposited: 18 Jul 2016 08:57
Last Modified: 18 Jul 2016 08:57
URI: http://www.open-access.bcu.ac.uk/id/eprint/1712

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