Data Engineering Essentials
The conversation highlights the critical role of data engineering in the data science workflow. While data scientists excel at analysis, they often require engineers to automate processes and refine vast amounts of unstructured data. By structuring and cleaning data, engineers enable scientists to focus on extracting valuable insights, ensuring that models are built on quality data rather than noise.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
657: How to Learn Data Engineering — with Andreas Kretz (@andreaskayy)
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