In this show, I open you the doors to companies and thought leaders around the world. With my guests, I discuss software engineering best practices and pitfalls, and how they strive to build software people love.

What the heck is data-oriented programming?

May 31, 2022 00:27:47 26.68 MB Downloads: 0

This episode is sponsored by Tonic.ai - where your data is modeled from your production data to help you tell an identical story in your testing environments.

Yehonathan is a software developer, author, and speaker. He has tons of experience in full-stack development using various languages such as Java, Javascript, and Ruby. But his favorite language is Clojure. He bundled all this experience and knowledge into his book Data-Oriented Programming, which is already available for beta-readers on Manning Publications and should be finished this summer.

[00:01 – 06:35] Opening Segment 

  • Check out my latest project: Awesome Code Reviews!
    • Visit https://www.awesomecodereviews.com/ to find articles about code reviews, best practices, code review checklist, news about the latest research and code reviews, and workshops and courses about this topic
  • Want to read Yehonathan’s book, Data-Oriented Programming?
    • Like and retweet today's episode now and get a chance to win a digital copy!
  • Introducing a simple way to eliminate the complexity of information systems
  • Why should we unlearn objects?
    • Relating meditation and object-oriented programming on how we perceive reality and cause accidental complexity

[06:36 – 17:52]  Data-Oriented Programming Defined

  • Data-oriented programming vs Object-oriented programming
    • Separating data representation and data validation
    • The map is not the territory
  • Data-oriented programming vs Functional programming
    • Using generic data structures in data-oriented programming instead of custom types
    • The profusion of types creates complexity

[17:53 – 23:17]  Changing Codebases to Data-Oriented Programming

  • The four principles of data-oriented programming
  • Mixing data-oriented programming with functional and object-oriented programming is possible
  • Comparing information systems vs data-intensive applications

[23:18 – 28:21] Closing Segment

  • The story behind Yehonathan’s book
    • He shares one of the best experiences in his writing journey
    • Win a digital copy of Data-Oriented Programming!
  • Final words

Resources Mentioned: 

Visit Yehonathan’s website and follow him on LinkedIn to know more about data-oriented programming. 

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