Gain the key language concepts and programming techniques of Scala in the context of big data
analytics and Apache Spark. The book begins by introducing you to Scala and establishes a firm
contextual understanding of why you should learn this language how it stands in comparison to
Java and how Scala is related to Apache Spark for big data analytics. Next you'll set up the
Scala environment ready for examining your first Scala programs. This is followed by sections
on Scala fundamentals including mutable immutable variables the type hierarchy system control
flow expressions and code blocks. The author discusses functions at length and highlights a
number of associated concepts such as functional programming and anonymous functions. The book
then delves deeper into Scala's powerful collections system because many of Apache Spark's APIs
bear a strong resemblance to Scala collections. Along the way you'll see thedevelopment life
cycle of a Scala program. This involves compiling and building programs using the
industry-standard Scala Build Tool (SBT). You'll cover guidelines related to dependency
management using SBT as this is critical for building large Apache Spark applications. Scala
Programming for Big Data Analytics concludes by demonstrating how you can make use of the
concepts to write programs that run on the Apache Spark framework. These programs will provide
distributed and parallel computing which is critical for big data analytics. What You Will
Learn See the fundamentals of Scala as a general-purpose programming language Understand
functional programming and object-oriented programming constructs in Scala Use Scala
collections and functions Develop package and run Apache Spark applications for big data
analytics Who ThisBook Is For Data scientists data analysts and data engineers who intend to
use Apache Spark for large-scale analytics.
