What Is Map Reduce
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What Is Map Reduce
Mapreduce can quickly summarize, classify, and analyze complex datasets. Map reduce is a type of software that is used to process and analyze data. The transformed intermediate records do not need to be of the same type as the input rec.
What is so attractive about hadoop is that affordable dedicated servers are enough to run a cluster. Mapreduce is a programming framework that allows us to perform distributed and parallel processing on large data sets in a distributed environment. Mapreduce consists of two distinct tasks — map.
The transformed intermediate records do not need to be of the same type as the input rec.
It was developed in 2004, on the basis of paper titled as mapreduce: Google first formulated the framework for the purpose of serving google’s web page indexing, and the new framework replaced earlier indexing algorithms. Mapreduce is a programming model or pattern within the hadoop framework that is used to access big data stored in the hadoop file system (hdfs). Mapreduce is a programming paradigm that enables massive scalability across hundreds or thousands of servers in a hadoop cluster.
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