Udacity

Intro to Hadoop and MapReduce (Udacity)

Offered by Udacity, Cloudera,
Intro to Hadoop and MapReduce (Udacity)

How to Process Big Data. 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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What You Will Learn

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 3
MapReduce code

  • Write your own MapReduce code.

Lesson 4
MapReduce Design Patterns

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

What Will you learn:

  • 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

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.

Go to Class
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