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Data-Oriented Programming in Java
Data-Oriented Programming in Java. Data-Oriented Programming (DOP) focuses on decreasing the complexity of the Object-Oriented Programming (OOP) application systems by rethinking data, i.e., separating data and code. DOP divides the system into two core components (Data entities and Code Module), where you can think about each separately.

Data-Oriented Programming in Java

Data-Oriented Programming in Java. Data-Oriented Programming (DOP) focuses on decreasing the complexity of the Object-Oriented Programming (OOP) application systems by rethinking data, i.e., separating data and code. DOP divides the system into two core components (Data entities and Code Module), where you can think about each separately.

However, before moving to Data Oriented Programming in OOP languages like Java, it is essential to understand how OOP increases the complexity of creating a system.

So in this blog, we will cover OOP and its complexity, data-oriented programming, how we can separate code from data in Java, and ways to represent immutable data in Java and data with records.

Overview of Object-Oriented Programming (OOP)

For Object-Oriented programming languages, everything is an object. OOP encourages developers to create complex entities and processes, encapsulation and polymorphism using objects. Although some developers might like to announce OOP as a failure, the truth is that OOP is well-suited in some cases and not so much pleasure to work with in other scenarios. But there is no denying that badly doing OOPs can be awful for the project.

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