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Development of the Design Methodology for Large-scale Data Warehouse based on MongoDB

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(3), pp.49-54
  • DOI : 10.9708/jksci.2018.23.03.049
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : December 6, 2017
  • Accepted : March 8, 2018
  • Published : March 30, 2018

Jun-Ho Lee 1 Joo Kyung-Soo 1

1순천향대학교

Accredited

ABSTRACT

A data warehouse is a system that collectively manages and integrates data of a company. And provides the basis for decision making for management strategy. Nowadays, analysis data volumes are reaching critical size challenging traditional data ware housing approaches. 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 extend the data warehouse design methodology based on relational database using star schema, and have developed a consistent design methodology from information requirement analysis to data warehouse construction for large scale data warehouse construction based on MongoDB, one of NoSQL.

Citation status

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