발간년도 : [2017]
| 논문정보 |
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| 논문명(한글) |
[Vol.12, No.1] A Recent Trend of Database for Big Data Handling using Key-value database |
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| 논문투고자 |
Kyung-Tae Song, Sang-Hyun Park |
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| 논문내용 |
Modern database systems use different methods from traditional database processing systems. Since more and more different types of data need to be stored, modern database systems have become more important to efficiently process big data through distributed processing and system scalability. This importance will continue to grow. For this reason, databases for big data processing are being studied and developed in a service that continuously deals with big data such as search engines and SNS services. In particular, the key-value database model has advantages of fast I / O and scalability. Therefore, it is suitable for big data processing and it is used as a system of various applications. Also, studies on key-value databases have been actively conducted in big data researches, because other big data database models also share the characteristics of the key-value database model and borrow many of the techniques used in the key-value database model. However, there are some areas that can further improve the key-value database such as optimization research, next-generation storage. In this paper, we define the key-value database that emerged as a hot topic in the big data platform field, list the related technologies and platforms being studied, and present a methodology to complement existing platforms. |
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