Data Teams A Unified Management Model for Successful Data-Focused Teams /
| Main Author: | |
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| Corporate Author: | |
| Summary: | XXIV, 294 p. 13 illus. text |
| Language: | English |
| Published: |
Berkeley, CA :
Apress : Imprint: Apress,
2020.
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| Edition: | 1st ed. 2020. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-1-4842-6228-3 |
| Format: | Electronic Book |
Table of Contents:
- 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.-.