Data teams a unified management model for successful data-focused teams
Learn how to run successful big data projects, how to resource your teams, and how the teams should work with each other to be cost effective. This book introduces the three teams necessary for successful projects, and what each team does. Most organizations fail with big data projects and the failu...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
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/alma991009630942606719 |
Tabla de Contenidos:
- Part 1: Introducing Data Teams
- Chapter 1: Data Teams
- Chapter 2: The Good, the Bad, and the Ugly Data Teams
- Part 2: Building Your Data Team
- Chapter 3: The Data Science Team
- Chapter 4: The Data Engineering Team
- Chapter 5: The Operations Team
- Chapter 6: Specialized Staff
- Part 3: Working Together and Managing the Data Teams
- Chapter 7: Working as a Data Team
- Chapter 8: How the Business Interacts with Data Teams
- Chapter 9: Managing Big Data Projects
- Chapter 10: Starting a Team
- Chapter 11: The Steps for Successful Big Data Projects
- Chapter 12: Organizational Changes
- Chapter 13: Diagnosing and Fixing Problems
- Part 4: Case Studies and Interviews
- Chapter 14: Interview with Eric Colson and Brad Klingenberg, Stitch Fix
- Chapter 15: Interview with Dmitriy Ryaboy, Twitter, Cloudera, Zymergen
- Chapter 16: Interview with Bas Geerdink, ING, Rabobank
- Chapter 17: Interview with Harvinder Atwal, Moneysupermarket
- Chapter 18: Interview with a Large British Telecommunications Company
- Chapter 19: Interview with Mikio Braun, Zalando.-.
