CAJ | 학술논문

尝试利用大数据相关技术对多年积累的数量大、种类多的地学数据进行管理和应用。单一采用基于纯数据库或纯hadoop的数据管理架构难以取得数据服务的良好效果。采用基于Oracle架构与 Hadoop架构相结合的混合架构构建了地学大数据数据管理平台，主要实现非结构化数据和结构化数据的管理、快速访问、显示和挖掘功能。通过实践证明，该方案具有良好的实用性和通用性，为地学大数据的进一步应用做好技术储备。
상시이용대수거상관기술대다년적루적수량대、충류다적지학수거진행관리화응용。단일채용기우순수거고혹순hadoop적수거관리가구난이취득수거복무적량호효과。채용기우Oracle가구여 Hadoop가구상결합적혼합가구구건료지학대수거수거관리평태，주요실현비결구화수거화결구화수거적관리、쾌속방문、현시화알굴공능。통과실천증명，해방안구유량호적실용성화통용성，위지학대수거적진일보응용주호기술저비。
This paper attempts to employ the big data technology in the management and application of large amount of geological spatial data in many types .T he management architecture based on pure traditional data‐base technology or pure Hadoop can＇t produce satisfactory results .This paper adopts hybrid structure of Oracle architecture and Hadoop architecture to build geological big data management platform which provides the strong performance for unstructured and structured geological data management for its quick accessing displaying and data‐mining .Proved by practice ,this project has obtained practicability and universality ,and prepared for the technical storage for the further application of spatial big data .