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Reduce System Complexity with Data-Oriented Programming

GOTO Conferences via YouTube

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This talk explains how Data-Oriented Programming can reduce complexity in information systems. It covers separating code from data, using generic immutable data structures, and validating data without static types.

Syllabus

Intro
What is complexity?
Information systems
Principles of data-oriented programming
What makes a software system complex?
Principle No 1: Separate code from data
Principle No 2: Represent data with generic data structures
Principle No 3: Do not mutate data
Immutability in practice
What about data validation?
History of data-oriented programming
Summary
Outro

Taught by

GOTO Conferences

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