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Conference Paper
A Study on Data Analysis Process Management System in MapReduce Using BPM
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- Authors
- Yoon-Sik Yoo, Jaehak Yu, Hyo-Chan Bang, Cheong Hee Park
- Issue Date
- 2013-08
- Citation
- International Conference on Security-enriched Urban Computing and Smart Grid (SUComS) 2013, pp.7-12
- Language
- English
- Type
- Conference Paper
- Abstract
- MapReduce is a distribution-system-based programming model to process massive data and has been utilized as an analysis model not only in the academic world but also in the industrial fields. However, developers who implement MapReduce have some deficiency in understanding the data analysis, while data analysts have difficulty in programming MapReduce for various analyses by themselves. Hence, it is difficult for developers to provide a demanded analysis output. In order to solve such difficulty between developers of MapReduce and the data analysts, this study proposes a new MapReduce analysis process management system based on BPM (Business Process Management). This system was designed to provide a mutual complimentary intermediary function for MapReduce developers and analysts, and also makes it possible to respond flexibly to any alteration of analysis procedure.
- KSP Keywords
- Analysis Model, Analysis Process, Analysis procedure, Business process management, Data analysis, Management system, Massive Data, Programming models