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

Other Titles
Development of the Design Methodology for Large-scale Data Warehouse based on MongoDB
Authors
이준호주경수
Issue Date
2018
Publisher
한국컴퓨터정보학회
Keywords
Data warehouse; NoSQL; MongoDB; Design Methodology
Citation
한국컴퓨터정보학회논문지, v.23, no.3, pp.49 - 54
Journal Title
한국컴퓨터정보학회논문지
Volume
23
Number
3
Start Page
49
End Page
54
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/6750
DOI
10.9708/jksci.2018.23.03.049
ISSN
1598-849X
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.
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