A FRAMEWORK FOR DATA CLEANING IN DATA WAREHOUSES

被引：0

作者：

Peng, Taoxin ^{[1
]}

机构：

[1] Napier Univ, Sch Comp, Edinburgh EH10 5DT, Midlothian, Scotland

来源：

ICEIS 2008: PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL DISI: DATABASES AND INFORMATION SYSTEMS INTEGRATION | 2008年

关键词：

Data Cleaning; Data Quality; Data Integration; Data Warehousing;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

It is a persistent challenge to achieve a high quality of data in data warehouses. Data cleaning is a crucial task for such a challenge. To deal with this challenge, a set of methods and tools has been developed. However, there are still at least two questions needed to be answered: How to improve the efficiency while performing data cleaning? How to improve the degree of automation when performing data cleaning? This paper challenges these two questions by presenting a novel framework, which provides an approach to managing data cleaning in data warehouses by focusing on the use of data quality dimensions, and decoupling a cleaning process into several sub-processes. Initial test run of the processes in the framework demonstrates that the approach presented is efficient and scalable for data cleaning in data warehouses.

引用

页码：473 / 478

页数：6

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