Big Data I MapReduce I Hadoop Course
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Big Data I MapReduce I Hadoop Course
Big Data I MapReduce I Hadoop Course
Section 1 : Introduction, and Getting Started
Lecture 3
Note Alternate download link for the MovieLens data set
Text
Lecture 4
Getting Started - Run your First MapReduce Program!
10:2
Section 2 : Understanding MapReduce
Lecture 5
MapReduce Basic Concepts
Preview
Lecture 6
A quick note on file names
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Lecture 7
Walkthrough of Rating Histogram Code
10:39
Lecture 8
Understanding How MapReduce Scales Distributed Computing
Preview
Lecture 9
Average Friends by Age Example Part 1
3:5
Lecture 10
Average Friends by Age Example Part 2
7:14
Lecture 11
Minimum Temperature By Location Example
9:40
Lecture 12
Maximum Temperature By Location Example
Preview
Lecture 13
Word Frequency in a Book Example
5:26
Lecture 14
Making the Word Frequency Mapper Better with Regular Expressions
3:16
Lecture 15
Sorting the Word Frequency Results Using Multi-Stage MapReduce Jobs
8:18
Lecture 16
Activity Design a Mapper and Reducer for Total Spent by Customer
2:54
Lecture 17
Activity Write Code for Total Spent by Customer
3:57
Lecture 18
Compare Your Code to Mine
5:39
Lecture 19
Compare your Code to Mine for Sorted Results
3:49
Lecture 20
Combiners
7:27
Section 3 : Advanced MapReduce Examples
Lecture 21
Example Most Popular Movie
7:27
Lecture 22
Including Ancillary Lookup Data in the Example
8:1
Lecture 23
Example Most Popular Superhero, Part 1
Preview
Lecture 24
Example Most Popular Superhero, Part 2
6:31
Lecture 25
Example Degrees of Separation Concepts
12:28
Lecture 26
Degrees of Separation Preprocessing the Data
5:15
Lecture 27
Degrees of Separation Code Walkthrough
6:34
Lecture 28
Degrees of Separation Running and Analyzing the Results
5:41
Lecture 29
Example Similar Movies Based on Ratings Concepts
7:25
Lecture 30
Similar Movies Code Walkthrough
7:17
Lecture 31
Similar Movies Running and Analyzing the Results
6:37
Lecture 32
Learning Activity Improving our Movie Similarities MapReduce Job
3:58
Section 4 : Using Hadoop and Elastic MapReduce
Lecture 33
Fundamental Concepts of Hadoop
6:0
Lecture 34
The Hadoop Distributed File System (HDFS)
3:10
Lecture 35
Apache YARN
4:20
Lecture 36
Hadoop Streaming How Hadoop Runs your Python Code
3:37
Lecture 37
Setting Up Your Amazon Elastic MapReduce Account
6:49
Lecture 38
Linking Your EMR Account with MRJob
3:40
Lecture 39
Exercise Run Movie Recommendations on Elastic MapReduce
4:35
Lecture 40
Analyze the Results of Your EMR Job
Preview
Section 5 : Advanced Hadoop and EMR
Lecture 41
Distributed Computing Fundamentals
4:33
Lecture 42
Activity Running Movie Similarities on Four Machines
4:28
Lecture 43
Analyzing the Results of the 4-Machine Job
5:44
Lecture 44
Troubleshooting Hadoop Jobs with EMR and MRJob, Part 1
4:1
Lecture 45
Troubleshooting Hadoop Jobs, Part 2
10:28
Lecture 46
ml-1m Dataset Alternate Download Link
Text
Lecture 47
Analyzing One Million Movie Ratings Across 16 Machines, Part 1
6:9
Lecture 48
Analyzing One Million Movie Ratings Across 16 Machines, Part 2
8:2
Section 6 : Other Hadoop Technologies
Lecture 49
Introducing Apache Hive
6:17
Lecture 50
Introducing Apache Pig
3:26
Lecture 51
Apache Spark Concepts
9:37
Lecture 52
Spark Example Part 1
11:15
Lecture 53
Spark Example Part 2
3:22
Lecture 54
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0:41
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Lectures
52
Video
4:58:4 Hours
Skill level
intermdiate
level
Languages
English
Includes
Lifetime access
Certificate of Completion
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