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Intro to Hadoop and MapReduce – Udacity

Udacity
0-6 Month Online
Intermediate Contact Institute
Online Big Data
Online Self Paced 1573

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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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Why Take This Course?

  • 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

Course Contents

  • What is “Big Data”? The dimensions of Big Data. Scaling problems. HDFS and the Hadoop ecosystem.
  • The basics of HDFS, MapReduce and Hadoop cluster.
  • Writing MapReduce programs to answer questions about data.
  • MapReduce design patterns. 

Projects

  • Use MapReduce to reveal surprising trends in Udacity forum data.

Duration:

1 month

Assumes 6 Hour/week (Work at your own pace)

Fees: – INR 11,940/Month (assuming $ = INR 60)

Part Time/ Full time:

Part Time

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  • 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.

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  • MapReduce
  • Hadoop

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[su_tab title = “Faculty”]

  • Sarah Sproehnle
  • Ian Wrigley
  • Gundega Dekena
  • Program Structure

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