Fundamentals of Data Warehouses

Author:   Matthias Jarke ,  Maurizio Lenzerini ,  Yannis Vassiliou ,  Panos Vassiliadis
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2nd, rev. and extended ed. 2003
ISBN:  

9783540420897


Pages:   224
Publication Date:   26 November 2002
Format:   Hardback
Availability:   In Print   Availability explained
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Fundamentals of Data Warehouses


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Overview

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.

Full Product Details

Author:   Matthias Jarke ,  Maurizio Lenzerini ,  Yannis Vassiliou ,  Panos Vassiliadis
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2nd, rev. and extended ed. 2003
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   1.150kg
ISBN:  

9783540420897


ISBN 10:   3540420894
Pages:   224
Publication Date:   26 November 2002
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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.

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