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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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[su_tab title = “Eligibility”]

• 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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[su_tab title =”Tools”]

• MapReduce
• Hadoop

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[su_tab title = “Faculty”]

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

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[su_tab title = “Contact”]

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