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VLDB의 성능을 고려한 데이터 모델링에 관한 연구 KCI 등재

A Study on Data Modeling for VLDB Performance

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  • URLhttps://db.koreascholar.com/Article/Detail/246034
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대한안전경영과학회지 (Journal of Korea Safety Management & Science)
대한안전경영과학회 (Korea Safety Management & Science)
초록

It has been a huge amount of capacity of 10GB data base in a decade ago so far. Nowadays, however, 10TB is the common data base and even bigger capacities are available. So, new generation of Very Large Data Base (VLDB) has begun. Moving in to the new generation of VLDB has been caused major problems like backing up, restoring, and managing especially performance. It is very hard to export necessary data rapidly now due to the huge amount of data base. In the past, such kind of problems was out of the questions because of less data. As time goes on, however, optimization of performance became a big issue when the VLDB is common. Therefore, new professional technics are urgently required to maintain and optimize the data base that has become a VLDB or one that is in the progress of becoming one.

저자
  • 이종석 | Li, Zhong-Shi
  • 이창호 | Lee, Chang-Ho