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Software Huddle

The Real Work of Data Engineering with Joe Reis

Feb 27, 2024
In this engaging interview, Joe Reis, co-author of 'Fundamentals of Data Engineering,' shares his wealth of knowledge in the data engineering space. He discusses the vital role data engineers play in organizations and contrasts it with roles in data science. Joe dives into the dangers of chasing trendy technologies, the importance of mastering foundational principles, and the complexities of data governance in today’s AI-driven world. Listeners will appreciate his insights into resource constraints and the nuances of managing data integrity across various platforms.
59:00

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Data engineering plays a crucial role in managing the data lifecycle, serving as a bridge between raw data and practical applications for stakeholders.
  • The emphasis on foundational principles in data engineering is essential for addressing the skills gap exacerbated by modern tools that obscure traditional techniques.

Deep dives

Defining a Data Engineer

A data engineer is defined as someone who manages the data lifecycle, integrating roles involving security, orchestration, and architecture, among others. This role is essential in bridging the gap between raw data and its practical applications, serving the needs of stakeholders like analysts and data scientists. The distinction between data engineering and software engineering lies in their focus; data engineers concentrate on data management and transformation, while software engineers typically build applications for end-users. As data use cases evolve, the lines between these roles may become increasingly blended, reflecting the growing importance of data in modern applications.

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