Fundamentals of Data Warehouses
By: by Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
Contributors: Lenzerini, Maurizio; Vassiliou, Yannis; Vassiliadis, Panos
Edition: Second, Revised and Extended Edition.
Publisher: Springer Berlin Heidelberg
Published: 2003
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 219
ISBN-13: 9783642075643; 9783662051535
Subjects: Information storage and retrieval systems; Artificial intelligence; Computer science; Operations research; Database management
Description: 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. Furthermore, it presents 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. In the second edition, the significant advances of the state of the practice in the last three years are discussed and the conceptual framework is extended to a full methodology for data warehouse design, illustrated by several industrial case studies.
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