#122 Why Writing Is Thinking , and What Data Engineers Can Learn from It

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Plumbers of Data Science

Andreas Kretz

125 episodes

1 week ago

Data Engineering is the plumbing of data science. Almost invisible, but super important and a big mess when done wrong. We talk about interesting Data Engineering trends and topics. I also train Data Engineering in my Data Engineering Academy at LearnDataEngineering.com

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#122 Why Writing Is Thinking , and What Data Engineers Can Learn from It - with Simon Späti

Plumbers of Data Science

1 hour 5 minutes 21 seconds

5 months ago

#122 Why Writing Is Thinking , and What Data Engineers Can Learn from It - with Simon Späti

In this podcast episode, I’m joined by Simon Späti, long-time BI and data engineering expert turned full-time technical writer and author of the living book Data Engineering Design Patterns.

We talk about:

His 20-year journey from SQL-heavy BI to modern Data Engineering
Why switching from employee to full-time author wasn’t planned, but necessary
How he uses a “Second Brain” system to manage and publish his knowledge
Why writing is a tool for learning, not just sharing
The concept of convergent evolution in data tooling: when old and new solve the same problem
The underrated power of data modeling and pattern recognition in a hype-driven industry

Simon also shares practical advice for building your own public knowledge base, and why Markdown and simplicity still win in the long run.

Whether you're into tools, systems, or lifelong learning, this one’s a thoughtful deep dive.

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About Simon Späti:

Simon is a Data Engineer and Technical Author with 20+ years of experience in the data field. He's the author of the Data Engineering Blog (ssp.sh), curator of the Data Engineering Vault (vault.ssp.sh), and currently writes a book about Data Engineering Design Patterns (dedp.online). Simon maintains an awareness of open-source data engineering technologies and enjoys sharing his knowledge with the community.

Socials: Bluesky, LinkedIn, Twitter/X, YouTube