Books & Videos

Table of Contents

Chapter: Introduction, and Getting Started

Introduction

03m 22s

Getting Started – Run your First MapReduce Program!

07m 19s

Chapter: Understanding MapReduce

MapReduce Basic Concepts

13m 25s

A Quick Note on Filenames

10m 38s

A Walkthrough of Rating Histogram Code

03m 0s

Understanding How MapReduce Scales / Distributed Computing

03m 4s

Average Friends by Age Example – Part 1

07m 13s

Average Friends by Age Example – Part 2

09m 39s

Minimum Temperature by Location Example

03m 22s

Maximum Temperature by Location Example

05m 25s

Word Frequency in a Book Example

03m 15s

Making the Word Frequency Mapper Better with Regular Expressions

08m 18s

Sorting the Word Frequency Results Using Multi-Stage MapReduce Jobs

02m 54s

Activity: Design a Mapper and Reducer for Total Spent by Customer

03m 57s

Activity: Write Code for Total Spent by Customer

05m 38s

Compare Your Code to Mine – Sort Results by Amount Spent

03m 49s

Compare Your Code to Mine for Sorted Results

07m 26s

Chapter: Advanced MapReduce Examples

Example – Most Popular Movie

07m 23s

Including Ancillary Lookup Data in the Example

08m 0s

Example – Most Popular Superhero Part 1

04m 22s

Example – Most Popular Superhero Part 2

06m 31s

Example: Degrees of Separation – Concepts

12m 27s

Degrees of Separation – Preprocessing the Data

05m 14s

Degrees of Separation – Code Walkthrough

06m 34s

Degrees of Separation – Running and Analyzing the Results

05m 41s

Example – Similar Movies Based on Ratings: Concepts

07m 24s

Similar Movies – Code Walkthrough

07m 16s

Similar Movies – Running and Analyzing the Results

06m 37s

Learning Activity – Improving Our Movie Similarities MapReduce Job

03m 58s

Chapter: Using Hadoop and Elastic MapReduce

Fundamental Concepts of Hadoop

05m 59s

The Hadoop Distributed File System (HDFS)

03m 9s

Apache YARN

04m 20s

Hadoop Streaming – How Hadoop Runs Your Python Code

03m 37s

Setting Up Your Amazon Elastic MapReduce Account

06m 49s

Linking Your EMR Account with MRJob

03m 40s

Exercise – Run Movie Recommendations on Elastic MapReduce

04m 34s

Analyze the Results of Your EMR Job

04m 59s

Chapter: Advanced Hadoop and EMR

Distributed Computing Fundamentals

04m 33s

Activity – Running Movie Similarities on Four Machines

04m 27s

Analyzing the Results of the Four-Machine Job

05m 44s

Troubleshooting Hadoop Jobs with EMR and MRJob – Part 1

04m 1s

Troubleshooting Hadoop Jobs – Part 2

10m 28s

Analyzing One Million Movie Ratings across 16 Machines – Part 1

06m 8s

Analyzing One Million Movie Ratings across 16 Machines – Part 2

08m 2s

Chapter: Other Hadoop Technologies

Introducing Apache Hive

06m 16s

Introducing Apache Pig

03m 25s

Apache Spark – Concepts

09m 37s

Spark Example – Part 1

11m 15s

Spark Example – Part 2

03m 22s

Congratulations!

00m 41s