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)

Java interoperability

Java is one of the most popular languages, and many programmers learn Java programming as their first entrance to the programming world. The popularity of Java has increased since its initial release back in 1995. Java has gained in popularity for many reasons. One of them is the design of its platform, such that any Java code will be compiled to bytecode, which in turn runs on the JVM. With this magnificent feature, Java language to be being written once and run anywhere. So, Java is a cross-platform language.

Also, Java has lots of support from its community and lots of packages that will help you get your idea up and running with the help of these packages. Then comes Scala, which has lots of features that Java lacks, such as type inference and optional semicolon, immutable collections built right into Scala core, and lots more features (addressed in Chapter...