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.

Course Cost
Free
Timeline
Approx. 3 weeks
Skill Level
Intermediate
Included in Course
  • Rich Learning Content

  • Interactive Quizzes

  • Taught by Industry Pros

  • Self-Paced Learning

  • Student Support Community

Join the Path to Greatness

This free course is your first step towards a new career with the Machine Learning Engineer Nanodegree Program.

Free Course

Deploying a Hadoop Cluster

Enhance your skill set and boost your hirability through innovative, independent learning.

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Course Leads

  • Mat Leonard
    Mat Leonard

    Instructor

What You Will Learn

Lesson 1

Deploying a Hadoop cluster on Amazon EC2

  • Learn how to deploy a small Hadoop cluster on Amazon EC2 instances.
Lesson 1

Deploying a Hadoop cluster on Amazon EC2

  • Learn how to deploy a small Hadoop cluster on Amazon EC2 instances.
Lesson 2

Deploy a Hadoop cluster with Ambari

  • Use Apache Ambari to automatically deploy a larger, more powerful Hadoop cluster.
Lesson 2

Deploy a Hadoop cluster with Ambari

  • Use Apache Ambari to automatically deploy a larger, more powerful Hadoop cluster.
Lesson 3

On-demand Hadoop clusters

  • Use Amazon’s ElasticMapReduce to deploy a Hadoop cluster on-demand.
Lesson 3

On-demand Hadoop clusters

  • Use Amazon’s ElasticMapReduce to deploy a Hadoop cluster on-demand.
Lesson 4

Analyzing a big dataset with Hadoop and MapReduce

  • Use Hadoop and MapReduce to analyze a 150 GB dataset of Wikipedia page views.
Lesson 4

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.

What do I get?
  • Instructor videos
  • Learn by doing exercises
  • Taught by industry professionals
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