Maintaining data warehouses over changing information sources

Data warehouses have emerged as one key technology for the integration of distributed information sources. However, networked environments like the Web have produced a need for information integration solutions that take autonomy, heterogeneity, and dynamicity of sources into account. Challenging is...

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Bibliographic Details
Published in:Communications of the ACM 2000-06, Vol.43 (6), p.57-62
Main Authors: RUNDENSTEINER, ELKE A, KOELLER, ANDREAS, ZHANG, XIN
Format: Magazinearticle
Language:English
Subjects:
Data mining
Data warehouses
Data warehousing
Design and construction
Distributed processing
Information management
Information sources
Information storage
Propagation
Queries
Software industry
Systems integration
User interface
World Wide Web
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Summary:Data warehouses have emerged as one key technology for the integration of distributed information sources. However, networked environments like the Web have produced a need for information integration solutions that take autonomy, heterogeneity, and dynamicity of sources into account. Challenging issues for data warehouse solutions arise due to the dynamicity of the information sources to be integrated. This article characterizes the types of dynamicity (such as data updates, schema changes, an constraint modifications) as well as their explicit and implicit generation. This article also identifies issues for data warehousing systems that occur when the possibility of information source changes is taken into consideration. Such issues include adapting wrappers for information source changes, adapting view definitions to changes, or adapting the data content (extent) of the data warehouse. Lastly, possible candidate solutions for some of these problems, especially as explored in the context of the Evolvable View Environment system, are outlined.
ISSN:0001-0782
1557-7317
DOI:10.1145/336460.336475