Hybrid Database System for Big Data Storage and Management

International Journal of Computer Science, Engineering and Applications (IJCSEA) Vol. 7, No. 3/4, August 2017

13 Pages Posted: 25 Mar 2020

See all articles by Blessing E. James

Blessing E. James

Akwa Ibom State University - Department of Computer Science

P.O. Asagba

University of Nigeria

Date Written: 2017

Abstract

Relational database systems have been the standard storage system over the last forty years. Recently, advancements in technologies have led to an exponential increase in data volume, velocity and variety beyond what relational databases can handle. Developers are turning to NoSQL which is a non- relational database for data storage and management. Some core features of database system such as ACID have been compromised in NOSQL databases. This work proposed a hybrid database system for the storage and management of extremely voluminous data of diverse components known as big data, such that the two models are integrated in one system to eliminate the limitations of the individual systems. The system is implemented in MongoDB which is a NoSQL database and SQL. The results obtained, revealed that having these two databases in one system can enhance storage and management of big data bridging the gap between relational and NoSQL storage approach.

Keywords: ACID, BASE, Big data, NoSQL, SQL, MongoDB

Suggested Citation

James, Blessing E. and Asagba, P.O., Hybrid Database System for Big Data Storage and Management (2017). International Journal of Computer Science, Engineering and Applications (IJCSEA) Vol. 7, No. 3/4, August 2017 , Available at SSRN: https://ssrn.com/abstract=3544670

Blessing E. James (Contact Author)

Akwa Ibom State University - Department of Computer Science

Nigeria

P.O. Asagba

University of Nigeria

184 ogui Road Enugu
Department of Science Education, Chemistry option
Nsukka, DE Enugu State 410001
Nigeria

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