Summary

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.

Expected Learning

• 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

Syllabus

Lesson 1

What is "Big Data"? The dimensions of Big Data. Scaling problems. HDFS and the Hadoop ecosystem.

Lesson 2

The basics of HDFS, MapReduce and Hadoop cluster.

Lesson 3

Writing MapReduce programs to answer questions about data.

Lesson 4

MapReduce design patterns.

Final Project

Answering questions about big sales data and analyzing large website logs.

Required Knowledge

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.