Data-Oriented Programming • Yehonathan Sharvit & James Lewis

GOTO - Today, Tomorrow and the Future

This interview was recorded for the GOTO Book Club.
gotopia.tech/bookclub

Read the full transcription of the interview here

Yehonathan Sharvit - Author of Data-Oriented programming
James Lewis - Principal Consultant & Technical Director at Thoughtworks
RESOURCES
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Yehonathan
twitter.com/viebel
github.com/viebel
linkedin.com/in/viebel
blog.klipse.tech

James
twitter.com/boicy
linkedin.com/in/james-lewis-microservices

DESCRIPTION
Unlock the power of data-oriented programming with this groundbreaking guide ‘Data-Oriented Programming: Reduce software complexity‘, introducing a paradigm that revolutionizes software design by representing data through generic immutable structures. DOP simplifies state management, streamlines concurrency and eradicates common issues in object-oriented code, all while offering language-agnostic flexibility. In this GOTO Book Club episode, author Yehonathan Sharvit spoke to James Lewis about how you can change the way you look at programming where code is clearer, state-related bugs are history, and your applications are more robust.
This conversation-driven book is complete with code snippets and diagrams about DOP and the best part—it's not bound to a single programming language, making it adaptable to JavaScript, Ruby, Python, Clojure and traditional languages like Java or C#. Learn to design data models for business entities and implement state management systems without mutating data. Discover how to separate code from data, write data-oriented unit tests, and specify the shape of your data, all while gaining a deeper understanding of these exciting new concepts.
The interview is based on the book "Data-Oriented Programming"
RECOMMENDED BOOKS
Yehonathan Sharvit • Data-Oriented Programming
Yehonathan Sharvit • The Clojure Workshop
Zhamak Dehghani • Data Mesh
Eberhard Wolff & Hanna Prinz • Service Mesh
Piethein Strengholt • Data Management at Scale
Martin Kleppmann • Designing Data-Intensive Applications

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Kapitler

1. Intro (00:00:00)

2. The appeal of Clojure (00:03:16)

3. Data-oriented programming goals (00:04:32)

4. Treat data as data (00:12:34)

5. Immutability in data-oriented programming (00:32:02)

6. Outro (00:39:26)