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)

Summary

Structuring code in a sane way, with classes and traits, enhances the reusability of your code with generics, and creates a project with standard and widespread tools. Improve on the basics to know how Scala implements the OO paradigm to allow the building of modular software systems. In this chapter, we discussed the basic object-oriented features in Scala, such as classes and objects, packages and package objects, traits, and trait linearization, Java interoperability, pattern matching, implicit, and generics. Finally, we discussed SBT and other build systems that will be needed to build our Spark application on Eclipse or any other IDEs.

In the next chapter, we will discuss what functional programming is and how Scala supports it. We will get to know why it matters and what the advantages of using functional concepts are. Continuing, you will learn pure functions, higher...