. Recently Big data analysis is to analyze multiple data, and services that result. Big data services, advance the design of the analysis model, data collection, development, to the stage, such as the results derived. Data collection, development, result derivation, it is possible to use a common development methodology of the same standard and development business. However, the design of the analysis model has not yet been standardized. The design of most of the analysis model, the analysis of the CBD methodology, are using the design stage and agile methodology. In the present study, to present a strategy for the design of successful analysis model. For this reason, to analyze the business using the methodology of the CBD methodology and agile, to present a design proposal of the analysis model.

1. Study for Big data
analysis design model
Joonho Park
Soongsil University of Computer Science
DBCS(DAEBO Communication & systems)
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2. Agenda
• Introduction
• Characteristics of Big data Analysis
• Research Framework
• Finding and Implication
• Conclusion
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3. Introduction
• Through Big Data Analytics requires design
decisions.
• The implementation of the project through the CBD
and Agile methodologies.
• No model design phase that can make decisions.
• The big data analysis projects carried out through the
issue recently.
• Decision analysis model proposed by the issue.
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4. Characteristics of Big data
Analysis
• The requirements of big data requirements
development project is different.
• If you are not clear on the requirements analysis
phase of the project is high possibility of delay.
• The number of data analysis, data types,
depending on the amount of data, other artifacts
is presented.
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5. Research Framework
• Survey of big data project.
• Environmental analysis that matches the characteristics of each business.
• Big data business analysis that has been applied to each other business.
• Spatial big data project. 1, 2
• Analysis of the development methodology that has been introduced into the primary
industry.
• Problem presentation of each procedure.
• Financial project
• Lack of experience human resources, lack of specialized human resources.
• No specific requirements of the customer.
• No model designed caused by development methodology applied.
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6. Finding and Implication
• Understanding the characteristics of each
industry through the design analysis model
required.
• For example, big data space also requires an
understanding of the spatial information.
• Data understanding of the banking business
and marketing needs to understand directions.
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7. Conclusion
• Analysis services Model
• Collecting data on development methodology
and data design methodology proposed draft
• Service model proposed for the execution-
schedule
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8. Thank You
park1058@ssu.ac.kr
park1058@dbcs.co.kr
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