Data Insights Engineering
The conversation explores the evolving role of data insights engineering, emphasizing the shift from traditional data processing to a more integrated approach. It highlights the importance of making data easily digestible and analyzable, moving beyond mere staging to effective modeling in data warehouses. This evolution reflects a need for engineers to actively contribute to data usability in later stages.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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