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)

A Brief introduction to streaming

In today's world of interconnected devices and services, it is hard to even spend a few hours a day without our smartphone to check Facebook, or order an Uber ride, or tweet something about the burger you just bought, or check the latest news or sports updates on your favorite team. We depend on our phones and Internet, for a lot of things, whether it is to get work done, or just browse, or e-mail your friend. There is simply no way around this phenomenon, and the number and variety of applications and services will only grow over time.

As a result, the smart devices are everywhere, and they generate a lot of data all the time. This phenomenon, also broadly referred to as the Internet of Things, has changed the dynamics of data processing forever. Whenever you use any of the services or apps on your iPhone, or Droid or Windows phone, in some...