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Data Warehouse Conceptual Design-A Literature Survey

机译:数据仓库概念设计 - 文学调查

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摘要

Data Warehouse (DW) can provide an excellent approach in transforming Online Transaction Processing (OLTP) data into useful and reliable information to support organization?s decision making. As such, it can be a basis for data analysis techniques such as multidimensional analysis and data mining. However, DW design process has been known as a complex task that requires systematic and structured approach to guarantee its success. Therefore, there have been various methodologies proposed to carry out the design process which can be classified into requirement-driven, data-driven and hybrid approaches. In this study, a literature survey was made to obtain related works by a set of pertinent key words related to DW conceptual design. The objective of this survey is to provide the state of the art of DW conceptual design methodologies in narrative and summarized forms. The main contribution is to provide understanding of the trend, issues and solutions proposed to date in DW conceptual design and along the way to discover the novel and great contribution works that form an important basis in the DW conceptual design.
机译:数据仓库(DW)可以提供出色的方法,即将在线交易处理(OLTP)数据转换为有用且可靠的信息,以支持组织的决策。因此,它可以是数据分析技术的基础,例如多维分析和数据挖掘。然而,DW设计过程已被称为复杂的任务,需要系统和结构化方法来保证其成功。因此,已经提出了各种方法来执行设计过程,该设计过程可以被分类为要求驱动,数据驱动和混合方法。在这项研究中,通过与DW概念设计相关的一组相关的关键词来获得文献调查。本调查的目的是提供叙述和总结形式的DW概念设计方法的艺术技术。主要贡献是提供迄今为止概念设计中提出的趋势,问题和解决方案的理解,并沿着发现在DW概念设计中形成重要基础的新颖和伟大贡献作品的途径。

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