Scala Data Analysis Cookbook

by Arun Manivannan

Overview

This book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits.

Starting with introductory recipes on utilizing the Breeze and Spark libraries, get to grips withhow to import data from a host of possible sources and how to pre-process numerical, string, and date data. Next, you’ll get an understanding of concepts that will help you visualize data using the Apache Zeppelin and Bokeh bindings in Scala, enabling exploratory data analysis. iscover how to program quintessential machine learning algorithms using Spark ML library. Work through steps to scale your machine learning models and deploy them into a standalone cluster, EC2, YARN, and Mesos. Finally dip into the powerful options presented by Spark Streaming, and machine learning for streaming data, as well as utilizing Spark GraphX.

Product Details

ISBN-13:	9781784394998
Publisher:	Packt Publishing
Publication date:	10/30/2015
Sold by:	Barnes & Noble
Format:	eBook
Pages:	254
File size:	19 MB
Note:	This product may take a few minutes to download.

About the Author

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.