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Foundations of Data Engineering
This chapter explores the journey of self-education in data engineering, highlighting the importance of mastering core principles amidst evolving technologies. It discusses the complexities of defining data engineering, the growing specialization within the field, and the necessity of bridging skills gaps to enhance competency. Additionally, the conversation critiques current educational trends that prioritize tool proficiency over foundational knowledge and how this impacts the discipline's advancement.