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Viser: Mastering Data Warehouse Design - Relational and Dimensional Techniques
Mastering Data Warehouse Design: Relational and Dimensional Techniques Vital Source e-bog
Claudia Imhoff, Nicholas Galemmo og Jonathan G. Geiger
(2003)
Mastering Data Warehouse Design
Relational and Dimensional Techniques
Claudia Imhoff, Nicholas Galemmo og Jonathan G. Geiger
(2003)
Sprog: Engelsk
om ca. 10 hverdage
Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Fixed pages)
- Udgiver: John Wiley & Sons (August 2003)
- Forfattere: Claudia Imhoff, Nicholas Galemmo og Jonathan G. Geiger
- ISBN: 9780471480921
Bookshelf online: 5 år fra købsdato.
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Detaljer om varen
- Paperback: 456 sider
- Udgiver: John Wiley & Sons, Limited (August 2003)
- Forfattere: Claudia Imhoff, Nicholas Galemmo og Jonathan G. Geiger
- ISBN: 9780471324218
- A cutting-edge response to Ralph Kimball's challenge to the data warehouse community that answers some tough questions about the effectiveness of the relational approach to data warehousing
- Written by one of the best-known exponents of the Bill Inmon approach to data warehousing
- Addresses head-on the tough issues raised by Kimball and explains how to choose the best modeling technique for solving common data warehouse design problems
- Weighs the pros and cons of relational vs. dimensional modeling techniques
- Focuses on tough modeling problems, including creating and maintaining keys and modeling calendars, hierarchies, transactions, and data quality
PART ONE: CONCEPTS.
Chapter 1. Introduction.
Chapter 2. Fundamental Relational Concepts.
PART TWO: MODEL DEVELOPMENT.
Chapter 3. Understanding the Business Model.
Chapter 4. Developing the Model.
Chapter 5. Creating and Maintaining Keys.
Chapter 6. Modeling the Calendar.
Chapter 7. Modeling Hierarchies.
Chapter 8. Modeling Transactions.
Chapter 9. Data Warehouse Optimization.
PART THREE: OPERATION AND MANAGEMENT.
Chapter 10. Accommodating Business Change.
Chapter 11. Maintaining the Models.
Chapter 12. Deploying the Relational Solution.
Chapter 13. Comparison of Data Warehouse Methodologies. Glossary. Recommended Reading. Index.