Data-Oriented Programming in Java (20)

Data-oriented programming models data as data: records for entities and sealed types for alternatives. Combined with pattern matching we can define operations on the data without overloading it with functionality.

In data-oriented programming (DOP), we model data as data and polymorphic 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).

Slides

Here's the current version of the slides.

I also embedded them below. If they're focussed, you can navigate with arrow keys or swipes (they're two-dimensional, with chapters on the horizontal axis and chapter content layed out vertically). Use Page Up/Down for linearized order and ? for more shortcuts.

Past Presentations

I gave this talk a few times before. See below for links to slides (as they were at that very event), videos, and other information.

2022

2021