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文件名称：Scala and Spark for Big Data Analytics.pdf
文件大小：37.49MB
文件格式：PDF
更新时间：2020-09-26 09:59:27
Scala Spark Big Data
Chapter 1, Introduction to Scala, will teach big data analytics using the Scalabased
APIs of Spark. Spark itself is written with Scala and naturally, as a
starting point, we will discuss a brief introduction to Scala, such as the basic
aspects of its history, purposes, and how to install Scala on Windows, Linux,
and Mac OS. After that, the Scala web framework will be discussed in brief.
Then, we will provide a comparative analysis of Java and Scala. Finally, we
will dive into Scala programming to get started with Scala.
Chapter 2, Object-Oriented Scala, says that the object-oriented programming
(OOP) paradigm provides a whole new layer of abstraction. In short, this
chapter discusses some of the greatest strengths of OOP languages:
discoverability, modularity, and extensibility. In particular, we will see how
to deal with variables in Scala; methods, classes, and objects in Scala;
packages and package objects; traits and trait linearization; and Java
interoperability.