Data Teams
Год издания: 2020
Автор: Anderson J.
Издательство: Apress
ISBN: 978-1-4842-6228-3
Язык: Английский
Формат: PDF/EPUB
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 300
Описание: 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 failure is almost always blamed on the technologies used. To be successful, organizations need to focus on both technology and management.
Making use of data is a team sport. It takes different kinds of people with different skill sets all working together to get things done. In all but the smallest projects, people should be organized into multiple teams to reduce project failure and underperformance.
This book focuses on management. A few years ago, there was little to nothing written or talked about on the management of big data projects or teams. Data Teams shows why management failures are at the root of so many project failures and how to proactively prevent such failures with your project.
What You Will Learn:
- Discover the three teams that you will need to be successful with big data
- Understand what a data scientist is and what a data science team does
- Understand what a data engineer is and what a data engineering team does
- Understand what an operations engineer is and what an operations team does
- Know how the teams and titles differ and why you need all three teams
- Recognize the role that the business plays in working with data teams and how the rest of the organization contributes to successful data projects
Примеры страниц (скриншоты)
Оглавление
About the Author xvii
About the Technical Reviewer xix
Acknowledgments xxi
Introduction xxiii
Part I: Introducing Data Teams 1
Chapter 1: Data Teams 3
Chapter 2: The Good, the Bad, and the Ugly Data Teams 19
Part II: Building Your Data Team 27
Chapter 3: The Data Science Team 29
Chapter 4: The Data Engineering Team 43
Chapter 5: The Operations Team 65
Chapter 6: Specialized Staff 83
Part III: Working Together and Managing Data Teams 95
Chapter 7: Working as a Data Team 97
Chapter 8: How the Business Interacts with Data Teams 109
Chapter 9: Managing Big Data Projects 135
Chapter 10: Starting a Team 151
Chapter 11: The Steps for Successful Big Data Projects 173
Chapter 12: Organizational Changes 187
Chapter 13: Diagnosing and Fixing Problems 201
Part IV: Case Studies and Interviews 227
Chapter 14: Interview with Eric Colson and Brad Klingenberg 229
Chapter 15: Interview with Dmitriy Ryaboy 243
Chapter 16: Interview with Bas Geerdink 253
Chapter 17: Interview with Harvinder Atwal 261
Chapter 18: Interview with a Large British Telecommunications Company 269
Chapter 19: Interview with Mikio Braun 277
Index 287