Data Teams: A Unified Management Model for Successful Data-Focused Teams
暫譯: 數據團隊:成功數據導向團隊的統一管理模型

Anderson, Jesse

  • 出版商: Apress
  • 出版日期: 2020-09-19
  • 售價: $1,740
  • 貴賓價: 9.5$1,653
  • 語言: 英文
  • 頁數: 294
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484262271
  • ISBN-13: 9781484262276
  • 海外代購書籍(需單獨結帳)

商品描述

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 which may 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.

商品描述(中文翻譯)

學習如何成功執行大數據專案、如何為團隊配置資源,以及團隊之間應如何協作以達到成本效益。本書介紹了成功專案所需的三個團隊,以及每個團隊的職責。

大多數組織在大數據專案中失敗,這種失敗幾乎總是被歸咎於所使用的技術。要取得成功,組織需要同時關注技術和管理。

利用數據是一項團隊運動。這需要不同技能組合的人共同合作才能完成任務。在所有但最小的專案中,人員應該組織成多個團隊,以減少專案失敗和表現不佳的風險。

本書專注於管理。幾年前,關於大數據專案或團隊管理的文獻幾乎為零。《數據團隊》展示了為何管理失敗是許多專案失敗的根本原因,以及如何主動防止這些失敗發生在您的專案中。

您將學到什麼

- 發現成功執行大數據所需的三個團隊
- 了解數據科學家是什麼以及數據科學團隊的職責
- 了解數據工程師是什麼以及數據工程團隊的職責
- 了解運營工程師是什麼以及運營團隊的職責
- 知道團隊和職稱之間的差異,以及為什麼您需要這三個團隊
- 認識到業務在與數據團隊合作中所扮演的角色,以及組織其他部分如何促進成功的數據專案

本書適合誰閱讀

本書適合所有層級的管理人員,包括那些具備一定技術能力並即將開始大數據專案或已經啟動大數據專案的人。對於那些專案可能陷入困境而不知原因的人,或是參加過會議或閱讀過大數據相關資料並開始進行專案可行性調查的人,這本書將特別有幫助。

本書對於負責業務團隊的領導或技術架構師也很相關,他們的任務是找出啟動專案所需的條件,或是在專案陷入困境中,或需要確定是否有非技術問題影響他們的專案。

作者簡介

Jesse Anderson serves in three roles at Big Data Institute: data engineer, creative engineer, and managing director. He works on big data with companies ranging from startups to Fortune 100 companies. His work includes training on cutting-edge technologies such as Apache's Kafka, Hadoop, and Spark. He has taught over 30,000 people the skills needed to become data engineers.

Jesse is widely regarded as an expert in the field and for his novel teaching practices. He has published for O'Reilly and Pragmatic Programmers. He has been covered in prestigious publications such as: The Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired. He has spent the past 6+ years observing, mentoring, and working with data teams. He has condensed this knowledge of why teams succeed or fail into this book.

作者簡介(中文翻譯)

傑西·安德森在大數據研究所擔任三個角色:數據工程師、創意工程師和執行董事。他與從初創公司到《財富》100 強企業的公司合作,專注於大數據。他的工作包括針對尖端技術如 Apache 的 Kafka、Hadoop 和 Spark 進行培訓。他已經教導超過 30,000 人所需的技能,以成為數據工程師。

傑西被廣泛認為是該領域的專家,並以其新穎的教學方法而聞名。他曾為 O'Reilly 和 Pragmatic Programmers 出版過作品。他的研究成果曾被《華爾街日報》、CNN、BBC、NPR、Engadget 和《Wired》等知名出版物報導。他在過去的六年多時間裡觀察、指導並與數據團隊合作,並將這些關於團隊成功或失敗的知識濃縮成這本書。

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