The self-service data roadmap democratize data and reduce time to insight
Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data....
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media
2020.
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631069406719 |
Tabla de Contenidos:
- Part I. Self-service data delivery. Metadata catalog service ; Search service ; Feature story service ; Data movement service ; Clickstream tracking service
- Part II. Self-service data prep. Data lake management service ; Data wrangling service ; Data rights governance service -Part III. Self-service build. Data virtualization service ; Data transformations service ; Model training service ; Continuous integration service ; A/B testing service
- Part IV. Self-service operationalize. Query optimization service ; Pipeline orchestration service ; Model deploy service ; Quality observability service ; Cost management service.
