Overview
- In-depth review of data warehousing state of the art and practice
- Includes challenging list of research topics for researchers Excellent introduction to the issues of quality and metadata usage in data warehousing
- In this 2nd edition the state of the practice is brought up-to-date and a new chapter on the development method of DWQ included
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About this book
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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Keywords
Table of contents (8 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Fundamentals of Data Warehouses
Authors: Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
DOI: https://doi.org/10.1007/978-3-662-05153-5
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Hardcover ISBN: 978-3-540-42089-7Published: 26 November 2002
Softcover ISBN: 978-3-642-07564-3Published: 30 November 2010
eBook ISBN: 978-3-662-05153-5Published: 09 March 2013
Edition Number: 2
Number of Pages: XV, 224
Topics: Database Management, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Artificial Intelligence, Operations Research/Decision Theory