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The Future of Data Engineering: AI, LLMs, and Automation

Data Engineering Podcast

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Bridging Data Engineering and AI

This chapter explores the challenges and opportunities at the intersection of data engineering and AI, particularly in the context of large language models. It emphasizes the complexities of data engineering workflows and the need for a deeper understanding of data processes, while highlighting the potential for AI to streamline tasks and enhance productivity. Additionally, the chapter critiques the trend of positioning data engineers as merely facilitators for AI, advocating for a focus on how AI can truly support their work.

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