Data-Oriented Programming in Java by Nicolai Parlog
[Attention, cette conférence est entièrement en anglais]
In data-oriented programming (DOP), we model data as data and mpolymorphic behavior with pattern matching. This talk will introduce the concept of DOP and its four principles:
- model the data, the whole data, and nothing but the data
- data is immutable
- validate at the boundary
- make illegal states unrepresentable
We'll also explore how to use pattern matching as a safe, powerful, and maintainable mechanism for ad-hoc polymorphism on such data that lets us define operations without overloading the types with functionality. The talk ends with a juxtaposition to OOP, so you not only learn how to employ DOP but also when (not).
About the speaker :
Nicolai (aka nipafx) is a Java enthusiast focused on language features and core APIs with a passion for learning and sharing - in articles, newsletters, and books; in tweets, videos, and streams; in demo repos and at conferences - more on all of that on nipafx.dev.
He's a Java Developer Advocate at Oracle and organizer of the Accento conference in Karlsruhe.
That aside, he's best known for his haircut.