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From Academia to Industry: Bridging Data Engineering Challenges

Data Engineering Podcast

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Bridging Academia and Industry in Data Engineering

This chapter explores the synergy between academic research and industry practices in data engineering, highlighting both challenges and innovative projects. Key topics include access control complexities, master data management, and the evolution of knowledge graphs. The discussion emphasizes the importance of adapting theoretical frameworks to real-world applications, particularly in the context of emerging technologies like AI and large language models.

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