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You're reading from  Scala Data Analysis Cookbook

Product typeBook
Published inOct 2015
Reading LevelIntermediate
Publisher
ISBN-139781784396749
Edition1st Edition
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Author (1)
Arun Manivannan
Arun Manivannan
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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


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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Scala Data Analysis Cookbook
Published in: Oct 2015Publisher: ISBN-13: 9781784396749

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