Data warehouses have captured the attention of practitioners and
researchers alike. But the design and optimization of data
warehouses remains an art rather than a science. This book presents
the first comparative review of the state of the art and best
current practice of data warehouses. It covers source and data
integration, multidimensional aggregation, query optimization,
update propagation, metadata management, quality assessment, and
design optimization. Also, based on results of the European Data
Warehouse Quality project, it offers a conceptual framework by
which the architecture and quality of data warehouse efforts can be
assessed and improved using enriched metadata management combined
with advanced techniques from databases, business modeling, and
artificial intelligence. For researchers and database professionals
in academia and industry, the book offers an excellent introduction
to the issues of quality and metadata usage in the context of data
warehouses.
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