Model MapReduce and Apache Hadoop
Model MapReduce and Apache Hadoop Training
Innovians Technologies provides professional level Training for Model MapReduce and Apache Hadoop, based on current industry standards, requirements and trends.
Hadoop MapReduce is a framework for distributed processing of large data sets on computing clusters. It is a branch of the Apache Hadoop project. Apache Hadoop is an open source framework that allows to store and work with big data in a distributed environment across clusters of computers. MapReduce is the important component for data processing in Hadoop framework.
The term MapReduce refers to 2 separate and different tasks. The first is the map operation, takes a set of data and convey it into another form of data, where individual elements are broken down into tuples . The reduce operation joints those data tuples based on the key and accordingly modifies the value of the key. Hadoop MapReduce is a programming model at the heart of Apache Hadoop for providing hundreds or thousands of Hadoop clusters on hardware objects. MapReduce model processes with a distributed algorithm on a Hadoop cluster. The term MapReduce denotes two separate and different tasks Hadoop programs perform Map Job and Reduce Job.
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