A FRAMEWORK FOR DATA CLEANING IN DATA WAREHOUSES

Taoxin Peng

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Paper

A FRAMEWORK FOR DATA CLEANING IN DATA WAREHOUSES

Topics: Coupling and Integrating Heterogeneous Data Sources; Data Warehouse

In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 4: ICEIS, 473-478, 2008 , Barcelona, Spain

Author: Taoxin Peng

Affiliation: School of Computing, Napier University, United Kingdom

Keyword(s): Data Cleaning, Data Quality, Data Integration, Data Warehousing.

Related Ontology Subjects/Areas/Topics: Coupling and Integrating Heterogeneous Data Sources ; Data Warehouses and OLAP ; Databases and Information Systems Integration ; Enterprise Information Systems

Abstract: 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.

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Paper citation in several formats:

Peng, T. (2008). A FRAMEWORK FOR DATA CLEANING IN DATA WAREHOUSES. In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 4: ICEIS; ISBN 978-989-8111-36-4; ISSN 2184-4992, SciTePress, pages 473-478. DOI: 10.5220/0001706004730478

@conference{iceis08,
author={Taoxin Peng.},
title={A FRAMEWORK FOR DATA CLEANING IN DATA WAREHOUSES},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 4: ICEIS},
year={2008},
pages={473-478},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001706004730478},
isbn={978-989-8111-36-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 4: ICEIS
TI - A FRAMEWORK FOR DATA CLEANING IN DATA WAREHOUSES
SN - 978-989-8111-36-4
IS - 2184-4992
AU - Peng, T.
PY - 2008
SP - 473
EP - 478
DO - 10.5220/0001706004730478
PB - SciTePress