Practical DataOps Delivering Agile Data Science at Scale
Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driv...
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress
2020.
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| Edición: | 1st ed. 2020. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631944906719 |
Tabla de Contenidos:
- Part I. Getting Started
- 1. The Problem with Data Science
- 2. Data Strategy
- Part II. Toward DataOps
- 3. Lean Thinking
- 4. Agile Collaboration
- 5. Build Feedback and Measurement
- Part III. Further Steps
- 6. Building Trust
- 7. DevOps for DataOps
- 8. Organizing for DataOps
- Part IV. The Self-Service Organization
- 9. DataOps Technology
- 10. The DataOps Factory.
