CAJ | 학술논문

大数据技术是针对大数据“4 V”特征开发的信息技术，将其应用到水利数据处理，形成支持大数据的水利数据中心，能够实现对多源、多维、大量、多态水利数据进行精细和动态的数据分析，以满足现代水利数据的大规模存储、组织、挖掘和应用需求，从而提高水利事务与业务的决策支持能力。在简述大数据技术的基础上，依据水利数据中心的技术要求，提出并讨论一种基于信息动态组织、支持大数据处理的水利数据中心基础框架。
대수거기술시침대대수거“4 V”특정개발적신식기술，장기응용도수리수거처리，형성지지대수거적수리수거중심，능구실현대다원、다유、대량、다태수리수거진행정세화동태적수거분석，이만족현대수리수거적대규모존저、조직、알굴화응용수구，종이제고수리사무여업무적결책지지능력。재간술대수거기술적기출상，의거수리수거중심적기술요구，제출병토론일충기우신식동태조직、지지대수거처리적수리수거중심기출광가。
The big data technology is developed to cope with the"4v"characteristics of big data. In the processing of water resource information, water data center which supports big data can furnish the detailed and dynamic analyses of the multi-source, multi-dimensional, multi-mode and massive water data. These analyses here are supposed to satisfy the requirement of storage, organization, mining and application of modern water information, in order to improve the capability of supporting water resource decision making. After describing the big data technologies, this paper comes up with a fundamental frame of water data center supporting dynamic information organization and big data processing.