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An OPM-based method for transformation of operational system model to data warehouse model

机译:基于OPM的将操作系统模型转换为数据仓库模型的方法

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Data warehouse modeling is a complicated task, which involves both knowledge of business processes and familiarity with operational information systems structure and behavior. Several modeling techniques were suggested to utilize the operational system structural or behavioral model in order to construct a data warehouse conceptual model. However, these techniques are hardly applicable for modeling large-scale systems, as they require acquaintance with the business processes and ability to select relevant transactional entities. They require multiple manual actions because discovering measures and relevant dimensional entities are unassisted, and they usually disregard the process perspective. In this paper we propose a technique for data warehouse model construction based on the object process methodology, and demonstrate it on a case study emphasizing its advantages over other techniques.
机译:数据仓库建模是一项复杂的任务,涉及业务流程知识以及对运营信息系统结构和行为的熟悉。建议了几种建模技术,以利用操作系统的结构或行为模型来构建数据仓库概念模型。但是,这些技术很难应用于大型系统的建模,因为它们需要熟悉业务流程并具有选择相关交易实体的能力。他们需要多种手动操作,因为发现度量和相关的尺寸实体是无助的,并且通常会忽略过程的观点。在本文中,我们提出了一种基于对象过程方法的数据仓库模型构建技术,并在一个案例研究中进行了演示,强调了其相对于其他技术的优势。

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