优化数据仓库中的ETL流程

A. Simitsis, Panos Vassiliadis, T. Sellis
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引用次数: 224

摘要

提取-转换加载(ETL)工具是负责从多个数据源提取数据、清理数据、定制数据并将其插入数据仓库的软件。通常,这些过程必须在一定的时间窗口内完成;因此,有必要优化它们的执行时间。在本文中,我们深入研究了ETL过程的逻辑优化,将其建模为一个状态空间搜索问题。我们将每个ETL工作流视为一个状态,并通过一组正确的状态转换来构造状态空间。此外,我们还提供了最小化ETL工作流执行成本的算法。
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Optimizing ETL processes in data warehouses
Extraction-transformation-loading (ETL) tools are pieces of software responsible for the extraction of data from several sources, their cleansing, customization and insertion into a data warehouse. Usually, these processes must be completed in a certain time window; thus, it is necessary to optimize their execution time. In this paper, we delve into the logical optimization of ETL processes, modeling it as a state-space search problem. We consider each ETL workflow as a state and fabricate the state space through a set of correct state transitions. Moreover, we provide algorithms towards the minimization of the execution cost of an ETL workflow.
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