Jesse Anderson | Data Teams. A Unified Management Model for Successful Data-Focused Teams (2020) [PDF, EPUB]
Автор: Jesse Anderson
Издательство: Apress
ISBN: 78-1-4842-6228-3, 978-1484262276
Жанр: Database Storage & Design, Databases & Big Data, Statistics
Язык: Английский
Формат: PDF, EPUB
Качество: Изначально электронное (ebook)
Иллюстрации: Цветные и черно-белые
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
Who This Book Is For:
Management, at all levels, including those who possess some technical ability and are about to embark on a big data project or have already started a big data project. It will be especially helpful for those who have projects whichmay be stuck and they do not know why, or who attended a conference or read about big data and are beginning their due diligence on what it will take to put a project in place.
This book is also pertinent for leads or technical architects who are: on a team tasked by the business to figure out what it will take to start a project, in a project that is stuck, or need to determine whether there are non-technical problems affecting their project.
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
Скриншоты:
Время раздачи: с 10 до 20 (минимум до появления первых 3-5 скачавших) 
