CAJ | 학술논문

在当前的绝大多数CIMS工程中，数据处理操作和分析操作往往是针对相同的一些表和视图，这使得系统很难同时高效地完成数据处理和分析的任务。数据仓库技术的逐渐成熟，使得整个系统的数据库可以分为处理环境和分析环境两部分。文章讨论了基于数据仓库技术的CIMS数据环境结构，并提出了根据企业数据模型同时设计数据处理环境和分析环境的方法。
재당전적절대다수CIMS공정중，수거처리조작화분석조작왕왕시침대상동적일사표화시도，저사득계통흔난동시고효지완성수거처리화분석적임무。수거창고기술적축점성숙，사득정개계통적수거고가이분위처리배경화분석배경량부분。문장토론료기우수거창고기술적CIMS수거배경결구，병제출료근거기업수거모형동시설계수거처리배경화분석배경적방법。
In today′s CIMS projects,data processing and analysis usually carry out on the same tables and views. This makes it difficult to finish efficiently both data processing tasks and data analysis ones. With the maturity of the data warehouse technology,it is reasonable and feasible to divide the whole database into two parts:operational environment and analytic environment. In this paper,we discuss the structure of data environment in CIMS based on data warehouse and present a method to design the operational and analytic environments concurrently from the enterprise data model.