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Titlebook: Data Teams; A Unified Management Jesse Anderson Book 2020 Jesse Anderson 2020 data.Big Data.Data Science.Data Scientist.Data Engineering.Da

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发表于 2025-3-21 17:34:02 | 显示全部楼层 |阅读模式
书目名称Data Teams
副标题A Unified Management
编辑Jesse Anderson
视频video
概述Helps you debug why your team is failing or underperforming due to management issues.Covers how to skill and resource data science, data engineering, and operations teams.Teaches you how to assign the
图书封面Titlebook: Data Teams; A Unified Management Jesse Anderson Book 2020 Jesse Anderson 2020 data.Big Data.Data Science.Data Scientist.Data Engineering.Da
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 eng
出版日期Book 2020
关键词data; Big Data; Data Science; Data Scientist; Data Engineering; Data Engineer; DataOps; DataOps Engineer
版次1
doihttps://doi.org/10.1007/978-1-4842-6228-3
isbn_softcover978-1-4842-6227-6
isbn_ebook978-1-4842-6228-3
copyrightJesse Anderson 2020
The information of publication is updating

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Emrullah Gultekin,Mehmet S. AktasA data engineering team is responsible for creating data products and the architecture to build data products. These data products are really the lifeblood of the rest of the organization. The rest of the organization either consumes these data products—deriving insights that drive planning—or creates derivative data products for further use.
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Lecture Notes in Computer ScienceIn earlier chapters, we’ve staffed your data teams and found support for them within the larger organization. This chapter covers a number of day-to-day and long-term issues that managers have to face as the teams progress:
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