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MLOps meetup #12 // Why Data Scientists Should Know Data Engineering with Dan Sullivan

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Navigating the Intersections of Data Roles

This chapter explores the interactions between data analysis, software engineering, data science, and machine learning engineering roles, emphasizing the importance of domain expertise in working with data. It discusses the advantages of cross-skilling, the necessity of collaboration within a team, and the pitfalls of neglecting end-user needs in technical projects. The chapter also touches on cost optimization, security, compliance, and the evolving nature of roles in the data field, illustrated through a personal anecdote and insights from the speaker's experience at New Relic.

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