July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Functional Programming Concepts
"Object-oriented programming makes code understandable by encapsulating moving parts. Functional programming makes code understandable by minimizing moving parts."
- Michael Feathers
Using Scala and Spark is a very good combination for learning big data analytics. However, along with the OOP paradigm, we also need to know-how why functional concepts are important for writing Spark applications that eventually analyze your data. As mentioned in the previous chapters, Scala supports two programming paradigms: the Object-Oriented Programming paradigm and the Functional programming concepts. In Chapter 2, Object-Oriented Scala, we explored the OOP paradigm in which we have seen how to represent real-world objects ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.