DataWarehouse Countermeasures in the Bigdata Era: Focused on DataWarehouse 


Vol. 44,  No. 5, pp. 957-967, May  2019
10.7840/kics.2019.44.5.957


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  Abstract

In recent 4th industrial revolution, various IOT-based data are increasing in volume. This large amount of data has been used in business by building a DW system to support competitiveness and accurate decision making in enterprises. However, the need to analyze large amounts of data and various unstructured data, which are increasing every year, has been further enlarged, resulting in limitations of the existing DW system. In this study, we identify the problems of existing DW system, find ways to process large amount of data and unstructured data in DW system, modularize into DW architecture, DW and big data architecture and analyze unstructured data in extended DW system This paper proposes a solution for this problem.

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  Cite this article

[IEEE Style]

C. Kim, S. Kim, D. Jang, "DataWarehouse Countermeasures in the Bigdata Era: Focused on DataWarehouse," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 5, pp. 957-967, 2019. DOI: 10.7840/kics.2019.44.5.957.

[ACM Style]

Chae-Hyeong Kim, Seog Kim, and Dong-Won Jang. 2019. DataWarehouse Countermeasures in the Bigdata Era: Focused on DataWarehouse. The Journal of Korean Institute of Communications and Information Sciences, 44, 5, (2019), 957-967. DOI: 10.7840/kics.2019.44.5.957.

[KICS Style]

Chae-Hyeong Kim, Seog Kim, Dong-Won Jang, "DataWarehouse Countermeasures in the Bigdata Era: Focused on DataWarehouse," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 5, pp. 957-967, 5. 2019. (https://doi.org/10.7840/kics.2019.44.5.957)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880