Modern Data Warehouse - Theory & Practice of Design

Informationen zum Autor 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. Klappentext 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 Zusammenfassung The first book to apply the modern principles of software engineering to building data warehouses Inhaltsverzeichnis 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

Détails du produit

• Auteurs: Golfarelli, M Golfarelli, Mattaeo Golfarelli, Matteo Golfarelli, Matteo/ Rizzi Golfarelli, Stefano Rizzi, Rizzi Stefano
• Collaboration: Claudio Pagliarani (Traduction)
• Edition: Osborne mcgraw-hill
• Langues: Anglais
• Format d'édition: Livre Broché
• Sortie: 31.07.2011
• EAN: 9780071610391
• ISBN: 978-0-07-161039-1
• Dimensions: 188 mm x 233 mm x 24 mm
• Thèmes: Database & ERP - OMG; Database & ERP - OMG
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Informatique; Data Warehousing, COMPUTERS / Data Science / Data Warehousing