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You're reading from  Scala Data Analysis Cookbook

Product typeBook
Published inOct 2015
Reading LevelIntermediate
Publisher
ISBN-139781784396749
Edition1st Edition
Languages
Scala
Tools
Apache Spark
Concepts
Data Analysis
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Author (1)
Arun Manivannan
Arun Manivannan
author image
Arun Manivannan

Arun Manivannan has been an engineer in various multinational companies, tier-1 financial institutions, and start-ups, primarily focusing on developing distributed applications that manage and mine data. His languages of choice are Scala and Java, but he also meddles around with various others for kicks. He blogs at http://rerun.me. Arun holds a master's degree in software engineering from the National University of Singapore. He also holds degrees in commerce, computer applications, and HR management. His interests and education could probably be a good dataset for clustering.
Read more about Arun Manivannan

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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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Scala Data Analysis Cookbook
Published in: Oct 2015Publisher: ISBN-13: 9781784396749
© 2015 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Arun Manivannan

Arun Manivannan has been an engineer in various multinational companies, tier-1 financial institutions, and start-ups, primarily focusing on developing distributed applications that manage and mine data. His languages of choice are Scala and Java, but he also meddles around with various others for kicks. He blogs at http://rerun.me. Arun holds a master's degree in software engineering from the National University of Singapore. He also holds degrees in commerce, computer applications, and HR management. His interests and education could probably be a good dataset for clustering.
Read more about Arun Manivannan

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