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MapReduce and Hadoop
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This chapter introduces the MapReduce solution for distributed computation. It explains the fundamentals of MapReduce and describes in which scenarios it can be applied (basically, processing of massive data by easily parallelizable algorithms). Also, this chapter gives an overview of the open source project Hadoop, an implementation of MapReduce. Its architecture is depicted, and an easy step-by-step guide to install Hadoop is included, along with programming examples of how to use Hadoop.
Title: MapReduce and Hadoop
Description:
This chapter introduces the MapReduce solution for distributed computation.
It explains the fundamentals of MapReduce and describes in which scenarios it can be applied (basically, processing of massive data by easily parallelizable algorithms).
Also, this chapter gives an overview of the open source project Hadoop, an implementation of MapReduce.
Its architecture is depicted, and an easy step-by-step guide to install Hadoop is included, along with programming examples of how to use Hadoop.
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