Development of the Unified Database Design Methodology for Big Data Applications - based on MongoDB -

Jun-Ho Lee; Joo Kyung-Soo

doi:https://doi.org/10.9708/jksci.2018.23.03.041

Journal of The Korea Society of Computer and Information

Abbr : JKSCI
2018, 23(3), pp.41-48
DOI :https://doi.org/10.9708/jksci.2018.23.03.041
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science

Jun-Ho Lee ¹ , Joo Kyung-Soo ²

¹ 순천향대학교
² 순천향대학교

ABSTRACT

The recent sudden increase of big data has characteristics such as continuous generation of data, large amount, and unstructured format. The existing relational database technologies are inadequate to handle such big data due to the limited processing speed and the significant storage expansion cost. Current implemented solutions are mainly based on relational database that are no longer adapted to these data volume. NoSQL solutions allow us to consider new approaches for data warehousing, especially from the multidimensional data management point of view. In this paper, we develop and propose the integrated design methodology based on MongoDB for big data applications. The proposed methodology is more scalable than the existing methodology, so it is easy to handle big data.
KEYWORDS

Database , NoSQL , MongoDB , Design Methodology
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KCI Citation (1)

KJC Korea
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