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

Throughout this chapter, we have seen many examples of using the Scala collections API. It's very powerful, flexible, and has lots of operations coupled with them. This wide range of operations will make your life easy dealing with any kind of data. We introduced the Scala collections API, and its different types and hierarchies. We also demonstrated the capabilities of the Scala collections API and how it can be used in order to accommodate different types of data and solve a wide range of different problems. In summary, you learned about types and hierarchies, performance characteristic, Java interoperability, and the usage of implicits. So, this is more or less the end of the learning Scala. However, you will keep on learning more advanced topics and operations using Scala through the following chapters.

In the next chapter, we will explore data analysis and big...