Super Data Science: ML & AI Podcast with Jon Krohn cover image

595: Data Engineering 101

Super Data Science: ML & AI Podcast with Jon Krohn

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Fundamentals of Engineering: Timeless Principles and Strategies in Data Engineering

In this chapter, the co-authors introduce their new book, Fundamentals of Engineering, focusing on timeless principles and strategies in data engineering instead of specific technologies. They discuss the evolving definition of data engineering from being tool-centric to emphasizing the management of data flows and serving end-users. The chapter explores the importance of data architecture, orchestration, software engineering, and staying technology-agnostic for data engineers in the constantly evolving field.

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