Map Reduce Training

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MapReduce is a programming model used in Hadoop to allow massive scalability across thousands of servers in a Hadoop cluster. MapReduce generates and processes Big data on a cluster of computers using a parallel, distributed algorithm, providing for fault tolerance. It is one of the Core components of Apache Hadoop framework. It works with two basic procedures: mapping and reducing. First it maps the data, filtering and sorting it, splitting into key/value pairs. Then, the Reduce operation takes place and combining the pairs into smaller ones to provide meaningful output. It helps how to manage jobs with the Hadoop CLI and monitor them with MCS.
MapReduce Course Objectives
After completion of the MapReduce Course, you will be expertise and eligible for:
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Pre-requisites
The course can learn by any IT professional having basic knowledge of:
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