Fundamentals of Data Engineering Quotes

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Fundamentals of Data Engineering Quotes
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“What are some things a data engineer does not do? A data engineer typically does not directly build ML models, create reports or dashboards, perform data analysis, build key performance indicators (KPIs), or develop software applications. A data engineer should have a good functioning understanding of these areas to serve stakeholders best.”
― Fundamentals of Data Engineering: Plan and Build Robust Data Systems
― Fundamentals of Data Engineering: Plan and Build Robust Data Systems
“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”
― Fundamentals of Data Engineering: Plan and Build Robust Data Systems
― Fundamentals of Data Engineering: Plan and Build Robust Data Systems