| Titre : |
Mastering data warehouse design : relational and dimensional techniques |
| Type de document : |
texte imprimé |
| Auteurs : |
Claudia Imhoff, Auteur ; Nicholas Galemmo, Auteur ; Jonathan G. Geiger, Auteur |
| Editeur : |
New York : John Wiley & Sons |
| Année de publication : |
2003 |
| Importance : |
XVII, 438 p. |
| Présentation : |
ill. |
| Format : |
24 cm |
| ISBN/ISSN/EAN : |
978-0-471-32421-8 |
| Note générale : |
Bibliogr. - Index |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Entrepôts de données
Bases de données -- Conception
Data warehousing
Systèmes d'aide à la décision |
| Index. décimale : |
681.3.02 Conception,construction et structures des systèmes machines et éléments de traitement de données.(Conception des systèmes) |
| Résumé : |
* 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 |
| Note de contenu : |
Summary :
Part one: Concepts
1. Introduction
2. Fundamental Relational Concepts
Part two: Model Development
3. Understanding the Business Model.
4. Developing the Model.
5. Creating and Maintaining Keys.
6. Modeling the Calendar.
7. Modeling Hierarchies.
8. Modeling Transactions.
9. Data Warehouse Optimization.
Part three: operation and management
10. Accommodating Business Change
11. Maintaining the Models
12. Deploying the Relational Solution
13. Comparison of Data Warehouse Methodologies
Glossary |
| En ligne : |
http://artemisa.unicauca.edu.co/~ecaldon/docs/bd/mastering.pdf |
Mastering data warehouse design : relational and dimensional techniques [texte imprimé] / Claudia Imhoff, Auteur ; Nicholas Galemmo, Auteur ; Jonathan G. Geiger, Auteur . - New York : John Wiley & Sons, 2003 . - XVII, 438 p. : ill. ; 24 cm. ISBN : 978-0-471-32421-8 Bibliogr. - Index Langues : Anglais ( eng)
| Mots-clés : |
Entrepôts de données
Bases de données -- Conception
Data warehousing
Systèmes d'aide à la décision |
| Index. décimale : |
681.3.02 Conception,construction et structures des systèmes machines et éléments de traitement de données.(Conception des systèmes) |
| Résumé : |
* 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 |
| Note de contenu : |
Summary :
Part one: Concepts
1. Introduction
2. Fundamental Relational Concepts
Part two: Model Development
3. Understanding the Business Model.
4. Developing the Model.
5. Creating and Maintaining Keys.
6. Modeling the Calendar.
7. Modeling Hierarchies.
8. Modeling Transactions.
9. Data Warehouse Optimization.
Part three: operation and management
10. Accommodating Business Change
11. Maintaining the Models
12. Deploying the Relational Solution
13. Comparison of Data Warehouse Methodologies
Glossary |
| En ligne : |
http://artemisa.unicauca.edu.co/~ecaldon/docs/bd/mastering.pdf |
|  |
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