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Adaotubg data modeling techniques for data warehouse design

机译:用于数据仓库设计的Adaotubg数据建模技术

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摘要

Since a data warehouse's primary function is to facilitate end-user analysis and decision making, the method in which the data warehouse is modeled is critical to its success. Two modeling methods are explored, the entity relationship(ER) model and the dimensional model. A review of the literature reveals ways of trying to work Around the limitations of each model, including the use of hybrid Models. Since hybrids themselves create limitations in terms of Available tools and data warehouse robustness, however, this Study concludes by recommending a combination of the ER and Dimensional models, not as a hybrid but as a process.
机译:由于数据仓库的主要功能是促进最终用户分析和决策,因此对数据仓库进行建模的方法对其成功至关重要。探索了两种建模方法:实体关系模型和尺寸模型。对文献的回顾揭示了尝试克服每种模型的局限性的方法,包括使用混合模型。由于混合动力本身在可用工具和数据仓库的健壮性方面都存在局限性,因此,本研究的结论是建议将ER模型和维度模型结合起来使用,而不是将其作为混合动力,而是作为一个过程。

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