@article{ART002198085},
author={송경태 and SANGHYUN PARK},
title={A Recent Trend of Database for Big Data Handling using Key-value database},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2017},
volume={12},
number={1},
pages={47-57},
doi={10.34163/jkits.2017.12.1.005}
TY - JOUR
AU - 송경태
AU - SANGHYUN PARK
TI - A Recent Trend of Database for Big Data Handling using Key-value database
JO - Journal of Knowledge Information Technology and Systems
PY - 2017
VL - 12
IS - 1
PB - Korea Knowledge Information Technology Society
SP - 47
EP - 57
SN - 1975-7700
AB - 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.
KW - Key-value stores;Big data;Database systems;NVRAM;SSDs;Distributed systems
DO - 10.34163/jkits.2017.12.1.005
ER -
송경태 and SANGHYUN PARK. (2017). A Recent Trend of Database for Big Data Handling using Key-value database. Journal of Knowledge Information Technology and Systems, 12(1), 47-57.
송경태 and SANGHYUN PARK. 2017, "A Recent Trend of Database for Big Data Handling using Key-value database", Journal of Knowledge Information Technology and Systems, vol.12, no.1 pp.47-57. Available from: doi:10.34163/jkits.2017.12.1.005
송경태, SANGHYUN PARK "A Recent Trend of Database for Big Data Handling using Key-value database" Journal of Knowledge Information Technology and Systems 12.1 pp.47-57 (2017) : 47.
송경태, SANGHYUN PARK. A Recent Trend of Database for Big Data Handling using Key-value database. 2017; 12(1), 47-57. Available from: doi:10.34163/jkits.2017.12.1.005
송경태 and SANGHYUN PARK. "A Recent Trend of Database for Big Data Handling using Key-value database" Journal of Knowledge Information Technology and Systems 12, no.1 (2017) : 47-57.doi: 10.34163/jkits.2017.12.1.005
송경태; SANGHYUN PARK. A Recent Trend of Database for Big Data Handling using Key-value database. Journal of Knowledge Information Technology and Systems, 12(1), 47-57. doi: 10.34163/jkits.2017.12.1.005
송경태; SANGHYUN PARK. A Recent Trend of Database for Big Data Handling using Key-value database. Journal of Knowledge Information Technology and Systems. 2017; 12(1) 47-57. doi: 10.34163/jkits.2017.12.1.005
송경태, SANGHYUN PARK. A Recent Trend of Database for Big Data Handling using Key-value database. 2017; 12(1), 47-57. Available from: doi:10.34163/jkits.2017.12.1.005
송경태 and SANGHYUN PARK. "A Recent Trend of Database for Big Data Handling using Key-value database" Journal of Knowledge Information Technology and Systems 12, no.1 (2017) : 47-57.doi: 10.34163/jkits.2017.12.1.005
