Foundations for architecting data solutions managing successful data projects
While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution. Authors Ted Malaska and Jonathan Sei...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Beijing :
O'Reilly
[2018]
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630737206719 |
Tabla de Contenidos:
- Key data project types and considerations
- Evaluating and selecting data management solutions
- Managing risk in data projects
- Interface design
- Distributed storage systems
- The meta of enterprise data
- Ensuring data integrity
- Data processing.
