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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

In previous chapters, we saw how to import data from a CSV file to Breeze and Spark DataFrames. However, almost all the time, the source data that is to be analyzed is available in a variety of source formats. Spark, with its DataFrame API, provides a uniform API that can be used to represent any source (or multiple sources). In this chapter, we'll focus on the various input formats that we can load from in Spark. Towards the end of this chapter, we'll also briefly see some data preparation recipes.

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