Developing high quality data models
A multitude of problems is likely to arise when developing data models. With dozens of attributes and millions of rows, data modelers are always in danger of inconsistency and inaccuracy. The development of the data model itself could result in difficulties presenting accurate data. The need to imp...
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Burlington, Mass. :
Morgan Kaufmann : Elsevier
2011.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628078206719 |
Tabla de Contenidos:
- pt. 1. Motivations and notations
- pt. 2. General principles for data models
- pt. 3. An ontological framework for consistent data models
- pt. 4. The HQDM framework schema.
