Fundamentals of Data Warehouses

Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou , Panos Vassiliadis

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English

Springer-Verlag Berlin and Heidelberg GmbH & Co. K
26 November 2002

Internet guides & online services; Maintenance & repairs; Data capture & analysis

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.

By: Matthias Jarke, Maurizio Lenzerini, Yannis Vassiliou, Panos Vassiliadis
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Publication: Germany
Edition: 2nd, rev. and extended ed. 2003
Dimensions: Height: 235mm, Width: 155mm, Spine: 14mm
Weight: 1.150kg
ISBN: 9783540420897
ISBN 10: 3540420894
Pages: 224
Publication Date: 26 November 2002
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

1 Data Warehouse Practice: An Overview.- 2 Data Warehouse Research: Issues and Projects.- 3 Source Integration.- 4 Data Warehouse Refreshment.- 5 Multidimensional Data Models and Aggregation.- 6 Query Processing and Optimization.- 7 Metadata and Data Warehouse Quality.- 8 Quality-Driven Data Warehouse Design.- Appendix A. ISO Standards Information Quality.- Appendix B. Glossary.