
657: How to Learn Data Engineering
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Simplicity in Data Engineering and Building Data Pipelines
The chapter emphasizes the importance of simplicity in data engineering processes and scaling up only when necessary, rather than introducing unnecessary complexity in setting up data streaming systems. It also discusses the analogy of data engineering being compared to the plumbing of data science and the significance of building and maintaining data pipelines. The conversation extends to creating a data engineering podcast, starting a YouTube channel for live streams and Q&A sessions, and analyzing platforms like AWS architecture with viewer participation.
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