Data Engineering Pathways
Discover the multiple pathways to a successful data engineering career. Andreas emphasizes the importance of understanding platform structures, integration phases, and the various tools available across different environments like AWS and Azure. By mastering both transactional and analytical layers, you can confidently select the right tools and frameworks to enhance your skill set and adapt to industry needs.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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