Data-Oriented programming

on YouTube ↗21m

" summary

Argues that refactoring a Java library-management design into split data and code (plain data classes + separate functions) removes tangled methods, eliminates many locks and race conditions, and reduces object graph complexity from dozens of interlinked classes to simple value records. Shows using immutable collections and auto-generated constructors, and using immutable data values plus map/filter/reduce for polymorphism to replace inheritance. Claims measurable wins: fewer state bugs, easier concurrency, and simpler maintenance in production systems.

AI-written summary · about

" chapters (8)

1. 0:00Introduction
2. 3:01Complex system OOP example
3. 5:54Traditional data-class problems
4. 8:46Static method complexity
5. 12:00Locking mechanisms drawbacks
6. 13:47Simplifying code solutions
7. 16:39Benefits of simple immutable systems
8. 19:09Conclusion

" related talks

• 49mData-oriented Programming in JavaRon Veen · GeeCON Prague 2023
• 47mData-oriented programming in JavaRon Veen · GeeCON 2023
• 40mReduce System Complexity with Data-Oriented ProgrammingYehonathan Sharvit · GOTO Aarhus 2023
• 58m#OOP vs Data Oriented Programming Which One to ChooseVenkat Subramaniam · Devnexus 2025
• 25mOOPs!... I Did it Again: When Good Objects Go ToxicTrey Clark · Commit Your Code 2026
• 51mFunctional Principles for Object Oriented DevelopmentJessica Kerr · JDD 2012
• 01h 00mOOP vs Data Oriented Programming: Which One to Choose?Venkat Subramaniam · Great International Developer Summit 2025
• 01h 05mFrom object oriented to functional domain modelingMario Fusco · Codemotion Rome 2016