How to Process Big Data. 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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What You Will Learn
Lesson 1
Big Data
- What is Big Data?
- The problems big data creates.
- How Apache Hadoop addresses these problems.
Lesson 2
HDFS and MapReduce
- Discover how HDFS distributes data over multiple computers.
- Learn how MapReduce enables analyzing datasets in parallel across multiple machines.
Lesson 3
MapReduce code
- Write your own MapReduce code.
Lesson 4
MapReduce Design Patterns
- Use common patterns for MapReduce programs to analyze Udacity forum data.
What Will you 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
Prerequisites and Requirements
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.
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