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

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(3), pp.41-48
  • DOI : 10.9708/jksci.2018.23.03.041
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : January 25, 2018
  • Accepted : February 28, 2018
  • Published : March 30, 2018

Jun-Ho Lee 1 Joo Kyung-Soo 1

1순천향대학교

Accredited

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.

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