Intro to Hadoop and MapReduce (Udacity)

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.