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Cover 1 Copyright 3 Credits 4 About the Author 5 www.PacktPub.com 6 Customer Feedback 7 Table of Contents 8 Preface 13 Chapter 1: Getting Started with Spark 20 Getting set up - installing Python, a JDK, and Spark and its dependencies 21 Installing Enthought Canopy 21 Installing the Java Development Kit 26 Installing Spark 33 Running Spark code 50 Installing the MovieLens movie rating dataset 53 Run your first Spark program - the ratings histogram example 57 Examining the ratings counter script 57 Running the ratings counter script 59 Summary 60 Chapter 2: Spark Basics and Spark Examples 61 What is Spark? 61 Spark is scalable 62 Spark is fast 63 Spark is hot 63 Spark is not that hard 64 Components of Spark 64 Using Python with Spark 65 The Resilient Distributed Dataset (RDD) 67 What is the RDD? 67 The SparkContext object 68 Creating RDDs 68 Transforming RDDs 69 Map example 70 RDD actions 72 Ratings histogram walk-through 73 Understanding the code 73 Setting up the SparkContext object 73 Loading the data 74 Extract (MAP) the data we care about 76 Perform an action - count by value 77 Sort and display the results 78 Looking at the ratings-counter script in Canopy 80 Key/value RDDs an
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