Big Data Mastery with Hadoop Bundle

362 Enrolled

8 Courses & 44 Hours

$39.00$453.00

You save 91%

What's Included

$50.00 Value

Taming Big Data with MapReduce & Hadoop

Sundog Software

56 Lessons (5h)

Lifetime

Certification included
Experience level required: All levels
Access 56 lectures & 5 hours of content 24/7
Length of time users can access this course: Lifetime

Course Curriculum

56 Lessons (5h)

Introduction
Introduction
Getting Started
Installing Enthought Canopy
Installing MRJob
Downloading the MovieLens Data Set
Run Your First MapReduce Job
Understanding MapReduce
MapReduce Basic Concepts
Walkthrough of Rating Histogram Code
Understanding How MapReduce Scales / Distributed Computing
Average Friends by Age Example: Part 13:04
Average Friends by Age Example: Part 2
Minimum Temperature By Location Example
Maximum Temperature By Location Example
Word Frequency in a Book Example
Making the Word Frequency Mapper Better with Regular Expressions
Sorting the Word Frequency Results Using Multi-Stage MapReduce Jobs
Activity: Design a Mapper and Reducer for Total Spent by Customer2:54
Activity: Write Code for Total Spent by Customer
Compare Your Code to Mine. Activity: Sort Results by Amount Spent
Compare your Code to Mine for Sorted Results.
Combiners
Advanced MapReduce Examples
Example: Most Popular Movie
Including Ancillary Lookup Data in the Example
Example: Most Popular Superhero, Part 14:22
Example: Most Popular Superhero, Part 26:31
Example: Degrees of Separation: Concepts
Degrees of Separation: Preprocessing the Data
Degrees of Separation: Code Walkthrough
Degrees of Separation: Running and Analyzing the Results
Example: Similar Movies Based on Ratings: Concepts
Similar Movies: Code Walkthrough
Similar Movies: Running and Analyzing the Results
Learning Activity: Improving our Movie Similarities MapReduce Job
Using Hadoop and Elastic MapReduce
Fundamental Concepts of Hadoop
The Hadoop Distributed File System (HDFS)
Apache YARN4:20
Hadoop Streaming: How Hadoop Runs your Python Code
Setting Up Your Amazon Elastic MapReduce Account
Linking Your EMR Account with MRJob3:40
Exercise: Run Movie Recommendations on Elastic MapReduce
Analyze the Results of Your EMR Job
Advanced Hadoop and EMR
Distributed Computing Fundamentals
Activity: Running Movie Similarities on Four Machines
Analyzing the Results of the 4-Machine Job
Troubleshooting Hadoop Jobs with EMR and MRJob, Part 1
Troubleshooting Hadoop Jobs, Part 2
Analyzing One Million Movie Ratings Across 16 Machines, Part 1
Analyzing One Million Movie Ratings Across 16 Machines, Part 2
Other Hadoop Technologies
Introducing Apache Hive
Introducing Apache Pig
Apache Spark: Concepts
Spark Example: Part 1
Spark Example: Part 2
Congratulations!0:41
Where to Go from Here
New Lecture

Taming Big Data with MapReduce & Hadoop

Sundog SoftwareFrank Kane spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis. For more details on this course and instructor, click here. This course is hosted by StackSkills, the premier eLearning destination for discovering top-shelf courses on everything from coding—to business—to fitness, and beyond!

Description

Big data is hot, and data management and analytics skills are your ticket to a fast-growing, lucrative career. This course will quickly teach you two technologies fundamental to big data: MapReduce and Hadoop. Learn and master the art of framing data analysis problems as MapReduce problems with over 10 hands-on examples. Write, analyze, and run real code along with the instructor– both on your own system, and in the cloud using Amazon's Elastic MapReduce service. By course's end, you'll have a solid grasp of data management concepts.

Learn the concepts of MapReduce to analyze big sets of data w/ 56 lectures & 5.5 hours of content
Run MapReduce jobs quickly using Python & MRJob
Translate complex analysis problems into multi-stage MapReduce jobs
Scale up to larger data sets using Amazon's Elastic MapReduce service
Understand how Hadoop distributes MapReduce across computing clusters
Complete projects to get hands-on experience: analyze social media data, movie ratings & more
Learn about other Hadoop technologies, like Hive, Pig & Spark

Specs

Details & Requirements

Length of time users can access this course: lifetime
Access options: web streaming, mobile streaming
Certification of completion not included
Redemption deadline: redeem your code within 30 days of purchase
Experience level required: all levels

$69.00 Value

Projects in Hadoop and Big Data: Learn by Building Apps

Eduonix Technologies

43 Lessons (10h)

Lifetime

$49.00 Value

Learn Hadoop, MapReduce and Big Data from Scratch

Eduonix Learning Solutions

76 Lessons (15.5h)

Lifetime

$69.00 Value

Introduction to Hadoop

Loony Corn

30 Lessons (5h)

Lifetime

$69.00 Value

Advanced MapReduce in Hadoop

Loonycorn

24 Lessons (4.5h)

Lifetime

$49.00 Value

Database Operations via Hadoop and MapReduce

Loonycorn

49 Lessons (1.5h)

Lifetime

$49.00 Value

Recommendation Systems Via Hadoop And MapReduce

Loonycorn

4 Lessons (1h)

Lifetime

$49.00 Value

K-Means Clustering via Hadoop And MapReduce

Loonycorn

7 Lessons (1.5h)

Lifetime

Terms

Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.

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