Название: Data Teams: A Unified Management Model for Successful Data-Focused Teams Автор: Jesse Anderson
Издательство: Apress
Год: 2020
Страниц: 300
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB
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 Big 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.
Big data is 10–15 times more complicated to use than small data.2 This complexity extends from technical issues to management ones. Misunderstanding, underestimating, or ignoring this significant increase in complexity causes organizations to fail. Technically, this complexity stems from the need for distributed systems. Instead of doing everything on a single computer, you have to write distributed code. The distributed systems themselves are often difficult to use and must be chosen carefully because each has specific trade-offs. A distributed system is a task broken up and run on several computers at once. This could also mean data broken up and stored on multiple computers. Big data frameworks and technologies are examples of distributed systems. I’m using this term instead of talking about a specific big data framework or program. Honestly and unfortunately, these big data frameworks come and go.
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.
You will:
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
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