Introduction to Hadoop and MapReduce

开始时间: 随时 持续时间: 自主

所在平台: Udacity

课程类别: 计算机科学

大学或机构: Udacity Self



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What Should I Know?

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 you however need basic programming ability, on a level provided by introductory courses, like our Introduction to Computer Science.

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

What Will I 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

Lesson 1: What is ‘big data’? The dimensions of Big Data. Scaling problems. HDFS and Hadoop ecosystem.
Lesson 2: The Basics of HDFS, MapReduce and Hadoop cluster.
Lesson 3: Writing a MapReduce program to answer questions about data.
Final Project: Answering questions about big sales data and analyzing large website logs.



ziyoudefeng 2013-12-11 19:20 0 票支持; 0 票反对

这门课程太简单了,google搜索 mapreduce PPT 出来的这些PPT,看上几个也都抵上这三节课了。不过,总共也就3节课,听听也无妨。讲的内容很初级,小白用户可以网上的讲义加视频一起学习!

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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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