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Towards Data Quality into the Data Warehouse Development

机译:将数据质量纳入数据仓库开发

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摘要

Commonly, DW development methodologies, paying little attention to the problem of data quality and completeness. One of the common mistakes made during the planning of a data warehousing project is to assume that data quality will be addressed during testing. In addition to the data warehouse development methodologies, we will introduce in this paper a new approach to data warehouse development. This proposal will be based on integration data quality into the whole data warehouse development phase, denoted by: integrated requirement analysis for designing data warehouse (IRADAH). This paper shows that data quality is not only an integrated part of data warehouse project, but will remain a sustained and ongoing activity.
机译:通常,DW开发方法很少关注数据质量和完整性问题。在数据仓库项目的规划过程中犯的一个常见错误是,假定在测试过程中将解决数据质量问题。除了数据仓库开发方法外,我们还将在本文中介绍一种新的数据仓库开发方法。该建议将基于将数据质量集成到整个数据仓库开发阶段的过程,表示为:设计数据仓库的集成需求分析(IRADAH)。本文表明,数据质量不仅是数据仓库项目不可或缺的一部分,而且仍将是一项持续不断的活动。

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