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The Changelog: Software Development, Open Source
The principles of data-oriented programming (Interview)
Jan 14, 2023
56:41
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- Data-oriented programming emphasizes treating data as a first-class citizen by separating code from data and using generic data structures.
- Adopting data-oriented programming streamlines business logic automation, data manipulation, and unit testing, but faces challenges in tooling and schema documentation.
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Principle of Data-Oriented Programming
Data-oriented programming emphasizes treating data as a first-class citizen in applications and is characterized by four main principles. The first principle involves separating code from data to reduce complexity and improve code reuse. The second principle focuses on representing data with generic data structures such as hash maps and lists instead of specific structures. The third principle advocates for treating data as immutable to prevent complexities arising from mutations and provide structural sharing benefits. The fourth principle underlines the importance of separating data schema from data representation to allow runtime data validation and flexible data manipulation.
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