Taming Big Data with MapReduce and Hadoop - Hands On!

Master Big Data with MapReduce and Hadoop

Unlock the power of big data analysis with this comprehensive course! Learn two fundamental technologies – MapReduce and Hadoop – essential for handling massive datasets. Discover how companies like Google analyze vast amounts of information and apply those same techniques using your own Windows system.

This hands-on course guides you through framing data analysis problems as MapReduce tasks, with over 10 practical examples. You'll then scale these solutions to run on cloud computing services. Learn from an experienced professional with a background at Amazon and IMDb.

Key Concepts & Skills:

• MapReduce Fundamentals: Understand the core concepts and quickly run MapReduce jobs using Python.
• MRJob Translation: Translate complex analysis problems into efficient, multi-stage MapReduce jobs.
• Cloud Scaling: Scale your MapReduce applications to handle larger datasets using Amazon Elastic MapReduce (EMR).
• Hadoop Distributed Systems: Learn how Hadoop distributes MapReduce across computing clusters.
• Hadoop Ecosystem: Explore other powerful Hadoop technologies, including Hive, Pig, and the increasingly popular Spark framework.

Hands-On Learning:

By the end of this course, you'll be confidently running code to analyze gigabytes of information in the cloud, in minutes! We'll start with simple examples like analyzing movie ratings and text, then progress to more complex tasks:

• Movie Similarity Analysis: Discover movies similar to each other using a million movie ratings dataset.
• Social Graph Analysis: Analyze a social graph of superheroes to identify the most popular hero and calculate "degrees of separation" – how connected they are. Can you prove all Marvel superheroes are within a few degrees of The Incredible Hulk?

Course Features:

• Extensive Video Content: Over 5 hours of video instruction.
• 10+ Real-World Examples: Build, run, and study increasingly complex examples.
• Hands-On Practice: Spend most of your time writing, analyzing, and running real code.
• Cloud Computing: Utilize Amazon EMR for scalable data analysis.
• Self-Paced Learning: Progress at your own speed and schedule.
• Spark Introduction: Gain a working understanding of the Spark framework.

What Students Are Saying:

"This is undoubtedly the best MapReduce course I've taken – way at the top!"

"One of the best courses I've seen in 4 years of using Udemy."

"The best hands-on course on MapReduce and Python. I love the run-it-yourself approach."