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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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Published in: | Communications of the ACM 2000-06, Vol.43 (6), p.57-62 |
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container_title | Communications of the ACM |
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creator | RUNDENSTEINER, ELKE A KOELLER, ANDREAS ZHANG, XIN |
description | 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. |
doi_str_mv | 10.1145/336460.336475 |
format | magazinearticle |
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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 |
title | Maintaining data warehouses over changing information sources |
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