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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
Author (1):
Rajesh Gupta Rajesh Gupta
Profile icon Rajesh Gupta
Toc

Table of Contents (14) Chapters close

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

Scala Overview

Scala is a popular general-purpose, high-level programming language that typically runs on the Java Virtual Machine (JVM). JVM is a time-tested platform that has proven itself in terms of stability and performance. A large number of very powerful libraries and frameworks have been built using Java. For instance, in the context of data analysis, there are many Java libraries available to handle different data formats, such as XML, JSON, Avro, and so on. Scala's interoperability with such well-tested libraries helps increase a Scala programmer's productivity greatly.

When it comes to data analysis and processing, it is often the case that there is an abundance of data transformation tasks that need to be performed. Some examples of such tasks are mapping from one representation to another, filtering irrelevant data, and joining one set of data with another...

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