About this Course

The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. Learn the fundamental principles behind it, and how you can use its power to make sense of your Big Data.

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Intro to Hadoop and MapReduce
Course Cost
Free
Timeline
Approx. 1 months
Skill Level
Intermediate
Included in Course
  • Icon course 01 3edf6b45629a2e8f1b490e1fb1516899e98b3b30db721466e83b1a1c16e237b1 Rich Learning Content

  • Icon course 04 2edd94a12ef9e5f0ebe04f6c9f6ae2c89e5efba5fd0b703c60f65837f8b54430 Interactive Quizzes

  • Icon course 02 2d90171a3a467a7d4613c7c615f15093d7402c66f2cf9a5ab4bcf11a4958aa33 Taught by Industry Pros

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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

Intro to Hadoop and MapReduce

by Cloudera

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

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Course Leads

  • Sarah Sproehnle
    Sarah Sproehnle

    Instructor

  • Ian Wrigley
    Ian Wrigley

    Instructor

  • Gundega Dekena
    Gundega Dekena

    Instructor

What You Will Learn

Lesson 1

Big Data

  • What is Big Data?
  • The problems big data creates.
  • How Apache Hadoop addresses these problems.
Lesson 1

Big Data

  • What is Big Data?
  • The problems big data creates.
  • How Apache Hadoop addresses these problems.
Lesson 2

HDFS and MapReduce

  • Discover how HDFS distributes data over multiple computers.
  • Learn how MapReduce enables analyzing datasets in parallel across multiple machines.
Lesson 2

HDFS and MapReduce

  • Discover how HDFS distributes data over multiple computers.
  • Learn how MapReduce enables analyzing datasets in parallel across multiple machines.
Lesson 3

MapReduce code

  • Write your own MapReduce code.
Lesson 3

MapReduce code

  • Write your own MapReduce code.
Lesson 4

MapReduce Design Patterns

  • Use common patterns for MapReduce programs to analyze Udacity forum data.
Lesson 4

MapReduce Design Patterns

  • Use common patterns for MapReduce programs to analyze Udacity forum data.

Prerequisites and Requirements

Lesson 1 does not have technical prerequisites and is a good overview of Hadoop and MapReduce for managers.

To get the most out of the class, however, you need basic programming skills in Python on a level provided by introductory courses like our Introduction to Computer Science course.

To learn more about Hadoop, you can also check out the book Hadoop: The Definitive Guide.

See the Technology Requirements for using Udacity.

Why Take This Course

  • How Hadoop fits into the world (recognize the problems it solves)
  • Understand the concepts of HDFS and MapReduce (find out how it solves the problems)
  • Write MapReduce programs (see how we solve the problems)
  • Practice solving problems on your own
What do I get?
  • Instructor videos
  • Learn by doing exercises
  • Taught by industry professionals
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