Data Warehouse Design: Modern Principles and Methodologies
Modern Principles and Methodologies
Published on 16. July 2009
Book
Paperback/Softback
480 pages
978-0-07-161039-1 (ISBN)
Description
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
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
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
More details
Language
English
Place of publication
New York
United States
Publishing group
McGraw-Hill Education - Europe
Target group
Professional and scholarly
Illustrations
50 Illustrations
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 26 mm
Weight
892 gr
ISBN-13
978-0-07-161039-1 (9780071610391)
Schweitzer Classification
Persons
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 advanced information systems and software engineering.
Stefano Rizzi is a full professor of Computer Science and Technology at the University of Bologna, Italy, where he teaches courses in advanced information systems and software engineering.
Content
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
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