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Learn moreDeploying a Hadoop Cluster
Free Course
Analyze Data with Hadoop and MapReduce
Estimated time
Approx. 3 Weeks
Skill level
Intermediate
Prerequisites
See prerequisites in detail
About this course
Learn how to tackle big data problems with your own Hadoop clusters! In this course, you’ll deploy Hadoop clusters in the cloud and use them to gain insights from large datasets.
What you will learn
Deploying a Hadoop cluster on Amazon EC2
- Learn how to deploy a small Hadoop cluster on Amazon EC2 instances.
Deploy a Hadoop cluster with Ambari
- Use Apache Ambari to automatically deploy a larger, more powerful Hadoop cluster.
On-demand Hadoop clusters
- Use Amazon’s ElasticMapReduce to deploy a Hadoop cluster on-demand.
Analyzing a big dataset with Hadoop and MapReduce
- Use Hadoop and MapReduce to analyze a 150 GB dataset of Wikipedia page views.
Prerequisites and requirements
This course is intended for students with some experience with Hadoop and MapReduce, Python, and bash commands.
You’ll have to be able to work with HDFS and write MapReduce programs. You can learn about these in our Intro to Hadoop and MapReduce course.
The MapReduce programs in the course are written in Python. It is possible to use Java and other languages, but we suggest using Python, on the level of our Intro to Computer Science course.
You’ll also be using remote cloud machines, so you’ll need to know these bash commands:
- ssh
- scp
- cat
- head/tail
You’ll also need to be able to work in an editor such as vim or nano. You can learn about these in our Linux Command Line Basics course.
See the Technology Requirements for using Udacity.
Why take this course?
Using massive datasets to guide decisions is becoming more and more important for modern businesses. Hadoop and MapReduce are fundamental tools for working with big data. By knowing how to deploy your own Hadoop clusters, you’ll be able to start exploring big data on your own.
Learn with the best.
Mat Leonard
Instructor