Based on a brief review of agent-based information brokering and data warehouse architectures, we discuss the importance of data quality in data warehousing and the role distributed and multi-faceted knowledge processing as offered by agent technologies can play in such settings. We present a comprehensive methodology for addressing these issues, developed in the European DWQ project, and report on some industrial experiences concerning the relevance of this methodology to large-scale data warehousing efforts.
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