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“Consider the Data Science Hierarchy of Needs (Figure 1-5). In 2017, Monica Rogati published this hierarchy in an article that showed where AI and machine learning (ML) sat in proximity to more “mundane” areas such as data movement/storage, collection, and infrastructure. Figure 1-5. The Data Science Hierarchy of Needs”

Joe Reis, Fundamentals of Data Engineering: Plan and Build Robust Data Systems
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems Fundamentals of Data Engineering: Plan and Build Robust Data Systems by Joe Reis
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