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Hands-On Data Analysis with Scala

You're reading from Hands-On Data Analysis with Scala

Product type Book

Published in May 2019

Publisher Packt

ISBN-13 9781789346114

Pages 298 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Rajesh Gupta

Table of Contents (14) Chapters

Preface

1. Section 1: Scala and Data Analysis Life Cycle

2. Scala Overview

3. Data Analysis Life Cycle

4. Data Ingestion

5. Data Exploration and Visualization

6. Applying Statistics and Hypothesis Testing

7. Section 2: Advanced Data Analysis and Machine Learning

8. Introduction to Spark for Distributed Data Analysis

9. Traditional Machine Learning for Data Analysis

10. Section 3: Real-Time Data Analysis and Scalability

11. Near Real-Time Data Analysis Using Streaming

12. Working with Data at Scale

13. Another Book You May Enjoy

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Scala case classes and the collection API

Scala case classes and its collection API play a significant role in data analysis using Scala. This section will give you insight into these topics and an understanding of their relevance in the context of data analysis.

During the data analysis process, we will frequently encounter data that consists of a collection of records. These records often need to be transformed, cleaned, or filtered.

Scala case classes

Scala case classes provide a convenient mechanism to work with objects that hold values. Let's look at an example in Scala REPL. The case class defined in the following code will be used in other example codes in this chapter:

scala> case class Person(fname: String...

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Authors (1)

Rajesh Gupta

Rajesh is a Hands-on Big Data Tech Lead and Enterprise Architect with extensive experience in the full life cycle of software development. He has successfully architected, developed and deployed highly scalable data solutions using Spark, Scala and Hadoop technology stack for several enterprises. A passionate, hands-on technologist, Rajesh has masters degrees in Mathematics and Computer Science from BITS, Pilani (India).

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