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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 impr...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Burlington, MA :
Morgan Kaufmann,
�2011.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Chapter 1: What are Data Models For? Chapter 2: Different Sorts of Data Models Chapter 3: Languages and Notations for Data and Data Models Chapter 4: Layout of Data Models Chapter 5: Reviewing and Improving Data Models Chapter 6: High Quality Data Models Chapter 7: Principles for Data Models Chapter 8: A Generic Framework for a Changing World Chapter 9: Integration of Data Models Chapter 10: Future Directions.