Book Image

Scala and Spark for Big Data Analytics

By : Md. Rezaul Karim, Sridhar Alla
Book Image

Scala and Spark for Big Data Analytics

By: Md. Rezaul Karim, Sridhar Alla

Overview of this book

Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you. The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It then moves on to Spark to cover the basic abstractions using RDD and DataFrame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using SparkSQL, GraphX, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment. You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio. By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big.
Table of Contents (19 chapters)

Pure functions and higher-order functions

From the computer science perspective, functions can have many forms such as first order functions, higher-order functions, or pure functions. This is also true from the mathematics point of view. Using a higher-order function is a function one of the following can be performed:

  • Takes one or more functions as arguments to do some operations
  • Returns a function as its result

All other functions except the higher-order functions are first-order functions. However, from the mathematics point of view, higher-order functions are also called operators or functionals. On the other hand, if the return value of a function is only determined by its input and of course without observable side effects, it is called a pure function.

In this section, we will briefly discuss why and how to use different functional paradigms in Scala. Especially, pure...