We rely heavily on polymorphism when programming with the object-oriented paradigm. That has served us really well, especially to create extensible code. However, like any tool and technique, there are times when that may not be the right choice. Java now provides an alternative that is useful in those select situations—the data-oriented programming. In this presentation, we will start with an example where the highly useful object hierarchy and polymorphism appears as a misfit and discuss how data-oriented programming solves the problem more elegantly. Get a good understanding of when to use each one of these and how to intermix them in your applications.

Target Audience: This session is primarily aimed at Back-end Developers, as it focuses on choosing between object-oriented and data-oriented programming paradigms, both of which are crucial in designing scalable and maintainable back-end systems. Software Architects are a secondary audience, as understanding the trade-offs between these paradigms can influence architectural decisions and design choices.