Data Warehouse Design: Modern Principles and Methodologies: Modern Principles and Methodologies

Paperback | June 16, 2009

byMatteo Golfarelli, Stefano Rizzi

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Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy

"A unique and authoritative book that blends recent research developments with industry-level practices for researchers, students, and industry practitioners."Il-Yeol Song, Professor, College of Information Science and Technology, Drexel University

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From the Publisher

Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy"A unique and authoritative book that blends recent research developments with industry-level practices for researchers, students, and industry practitioners."Il-Yeol Song, Professor, College of Information Science and Technology, Drexel University

From the Jacket

Plan, Design, and Document High-Performance Data WarehousesSet up a reliable, secure decision-support infrastructure using the cuttingedge techniques contained in this comprehensive volume. Data Warehouse Design: Modern Principles and Methodologies presents a practical design approach based on solid software engineering principles. Fin...

Matteo Golfarelli is an associate professor of Computer Science and Technology at the University of Bologna, Italy, where he teaches courses in information systems, databases, and data mining. Stefano Rizzi is a full professor of Computer Science and Technology at the University of Bologna, Italy, where he teaches courses in advance...

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Data Warehouse Design: Modern Principles and Methodologies
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Kobo ebook|May 26 2009

$50.59 online$65.60list price(save 22%)
Format:PaperbackDimensions:480 pages, 9.1 × 7.4 × 0.92 inPublished:June 16, 2009Publisher:McGraw-Hill EducationLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0071610391

ISBN - 13:9780071610391

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Extra Content

Table of Contents

Chapter 1. Introduction to Data Warehousing
Chapter 2. Data Warehouse System Lifecycle
Chapter 3. Analysis and Reconciliation of Data Sources
Chapter 4. User Requirement Analysis
Chapter 5. Conceptual Modeling
Chapter 6. Conceptual Design
Chapter 7. Workload and Data Volume
Chapter 8. Logical Modeling
Chapter 9. Logical Design
Chapter 10. Data-staging Design
Chapter 11. Indexes for the Data Warehouse
Chapter 12. Physical Design
Chapter 13. Data Warehouse Project Documentation
Chapter 14. A Case Study
Chapter 15. Business Intelligence: Beyond the Data Warehouse
Glossary
Bibliography
Index