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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The Data Science TeamOf the three teams that make up a modern data team, we start with the data scientists, because they produce the output that their organizations use to make decisions. The other two teams exist to primarily work with the data scientists and secondarily with other parts of the organization.

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The Data Engineering TeamA 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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Specialized StaffAs organizations become more mature in their use of data, they start to need more specialized skills. In this chapter, we look at two advanced areas of staffing: DataOps and machine learning engineers. Both skills draw on software engineering, analytics, and data science.

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Starting a TeamIn earlier chapters, we’ve talked about the teams and how to manage them. This chapter covers the steps and considerations for starting and hiring the first members of the team. For organizations that have already started hiring, this will be a reminder of what should have been done or confirmation that the right decisions were made.

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Interview with Dmitriy RyaboyDmitriy Ryaboy started Twitter’s data engineering platform, interned at Cloudera when it was a small startup, and is currently the Vice President of Software Engineering at Zymergen. He has a master’s degree in Distributed Systems and Databases.

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