MapReduce is a programming paradigm that runs in the background of Hadoop to provide scalability and easy data-processing solutions. This tutorial explains the features of MapReduce and how it works to analyze big data.
This tutorial has been prepared for professionals aspiring to learn the basics of big data Analytics using the Hadoop Framework and become a Hadoop Developer. Software professionals, Analytics professionals, and ETL developers are the key beneficiaries of this course.
It is expected that the readers of this tutorial have a good understanding of the basics of core Java and that they have prior exposure to any of the Linux operating system flavors.
Hadoop MapReduce Related Tutorials |
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Informatica Tutorial | Teradata Tutorial |
Hadoop Tutorial | Java Tutorial |
Apache Pig Tutorial | HBase Tutorial |
MongoDB Tutorial | Lucene Tutorial |
Hadoop MapReduce Related Practice Tests |
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Informatica Practice Tests | Teradata Practice Tests |
Hadoop Practice Tests | MongoDB Practice Tests |
Hadoop Mapreduce Tutorial
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