Source integration for data warehousing

Calì, Andrea and Lembo, D. and Lenzerini, M. and Rosati, R. (2003) Source integration for data warehousing. In: Rafanelli, M. (ed.) Multidimensional Databases: Problems and Solutions. Idea Group, pp. 361-392. ISBN 9781591400530.

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Official URL: https://doi.org/10.4018/978-1-59140-053-0.ch012

Abstract

While the main goal of a data warehouse is to provide support for data analysis and management’s decisions, a fundamental aspect in design of a data warehouse system is the process of acquiring the raw data from a set of relevant information sources. We will call source integration system the component of a data warehouse system dealing with this process. The main goal of a source integration system is to deal with the transfer of data from the set of sources constituting the application-oriented operational environment, to the data warehouse. Since sources are typically autonomous, distributed, and heterogeneous, this task has to deal with the problem of cleaning, reconciling, and integrating data coming from the sources. The design of a source integration system is a very complex task, which comprises several different issues. The purpose of this chapter is to discuss the most important problems arising in the design of a source integration system, with special emphasis on schema integration, processing queries for data integration, and data cleaning and reconciliation.

Metadata

Item Type:	Book Section
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
Depositing User:	Sarah Hall
Date Deposited:	02 Feb 2021 19:13
Last Modified:	09 Aug 2023 12:50
URI:	https://eprints.bbk.ac.uk/id/eprint/42865

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