Usage-Driven Database Design From Logical Data Modeling through Physical Schema Definition
Design great databases—from logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accounts for how data is actually used in production systems. Key to the frame...
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress
2017.
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| Edición: | 1st ed. 2017. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630073906719 |
Tabla de Contenidos:
- Part I: Introduction
- 1. Introduction to Usage-Driven Database Design
- Part II: Logical Data Modeling
- 2. The E-R Approach
- 3. More About the E-R Approach
- 4. Building the Logical Data Model
- 5. LDM Best Practices
- 6. LDM Pitfalls
- 7. LDM Perils to Watch For
- Part III: Physical Schema Definition
- 8. Introduction to Physical Database Design
- 9. Introduction to Physical Schema Definition
- 10. Transformation: Creating the Physical Data Model.-11. Utilization: Merging Data and Process.-12. Formalization: Creating a Schema
- 13. Customization: Enhancing Performance
- 14. The Data Warehouse
- 15. The Big Data Decision Support System
- Part IV: Where From Here?
- 16. A Look Ahead
- Part V: Appendixes
- 17: Appendix A: Glossary
- 18: Appendix B: Logical Data Modeling Definitions
- 19. Appendix C: Physical Schema Definition Object Definitions
- 20. Appendix D: Formulas Used in the Book
- 21. Appendix E: List of U3D Deliverables.
