Reduce system complexity with Data-Oriented programming
Details
Data-Oriented programming is a paradigm that aims at reducing the complexity of software systems and making the development experience more productive. Data-Oriented programming draws a clear separation between code and data. It treats data as a value that is manipulated by general-purpose functions. In this talk, we illustrate the principles of Data-Oriented programming in the context of a software production system. After attending this talk, you will be able to apply Data-Oriented programming principles in your preferred programming language, whether it's Object-Oriented or Functional, and reduce the complexity of the systems you build.
Speaker: Yehonathan Sharvit
Yehonathan has been working as a software engineer since 2000, programming with C++, Java, Ruby, JavaScript, Clojure, and ClojureScript.
He currently works as a software architect at Cycognito, building software infrastructures for high-scale data pipelines. He shares insights about software on his blog, writes technical books, speaks at conferences, and leads Clojure workshops around the world.
Yehonathan is passionate about making interesting things easy to understand.
As a hobby, Yehonathan draws comics.
You can know more about him here: https://blog.klipse.tech/
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