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Scala Data Analysis Cookbook (new)

You're reading from   Scala Data Analysis Cookbook (new) Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781784396749
Length 254 pages
Edition 1st Edition
Languages
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Author (1):
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Arun Manivannan Arun Manivannan
Author Profile Icon Arun Manivannan
Arun Manivannan
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Table of Contents (9) Chapters Close

Preface 1. Getting Started with Breeze 2. Getting Started with Apache Spark DataFrames FREE CHAPTER 3. Loading and Preparing Data – DataFrame 4. Data Visualization 5. Learning from Data 6. Scaling Up 7. Going Further Index

Introduction


So far, the entire book has concentrated a little around Breeze and a lot around Spark, specifically DataFrames and machine learning. However, there are a whole lot of other libraries, both in Java and Scala that could be leveraged while analyzing data from Scala. This chapter goes a little more into Spark's other components, streaming and GraphX. Note that each recipe in this chapter feeds into the next recipe.

Note

All the code related to this chapter can be downloaded from https://github.com/arunma/ScalaDataAnalysisCookbook/tree/master/chapter7-goingfurther.

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