基于规则可信度的ETL数据质量控制的研究
Research on Rule Confidence Based Data Quality Control of ETL
ETL（Extract,Transform,Load）占据了数据仓库建立过程的大部分时间，如果在此过程中出现质量问题，将导致整个数据仓库的失败。目前的ETL的普遍方法都是基于元数据和规则的，但是传统的ETL过程都没有实现对规则的智能监控。本文在研究ETL处理过程的基础上，提出了ETL过程中的规则监控和管理，从而保证了数据的质量。
ETL(Extract,transForm,Load) takes most of time of Data Warehousing building. The Data Warehousing will fail if there are some problems during ETL. The general ways ETL processing are metadata-based and rule-based, so there are not intelligent controls on rule during ETL process. This paper put forward the monitoring and management of rules during ETL process after research on ETL process, which guarantees data quality.
李小亮
计算技术、计算机技术
ETL，规则，可信度，元数据
ETL Rule Confidence Metadata
李小亮.基于规则可信度的ETL数据质量控制的研究[EB/OL].(2009-02-05)[2025-08-10].http://www.paper.edu.cn/releasepaper/content/200902-120.点此复制
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