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Intro to Hadoop and MapReduce

Intro to Hadoop and MapReduce

In this short course, learn the fundamentals of MapReduce and Apache Hadoop to start making sense of Big Data in the real world!
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www.udacity.com
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Description

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.


Pricing:
Free
Level:
Intermediate
Duration:
4 weeks
Educator:
Sarah Sproehnle
Organization:
Cloudera
Submitted by:
Coursearena
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