Abstract
This final chapter links the metadata framework presented in Chap. 7 with the algorithms presented in earlier chapters to describe a systematic solution to incorporate quality aspects into design problems encountered in data warehousing. This solution, developed in the DWQ project, will be illustrated through an example. Then, one missing building block not yet covered in earlier chapters — the optimization of view materialization — will be discussed with an outlook on current challenges and extensions to data warehousing.
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© 2003 Springer-Verlag Berlin Heidelberg
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Jarke, M., Lenzerini, M., Vassiliou, Y., Vassiliadis, P. (2003). Quality-Driven Data Warehouse Design. In: Fundamentals of Data Warehouses. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05153-5_8
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DOI: https://doi.org/10.1007/978-3-662-05153-5_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07564-3
Online ISBN: 978-3-662-05153-5
eBook Packages: Springer Book Archive