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5 - MapReduce Program 1- Word Count | Cloudera Hadoop MapReduce Programming | Hands on Training
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Cloudera's Hadoop WordCount MapReduce program is a classic and foundational example in the world of big data processing. It leverages the Hadoop ecosystem, which includes the Hadoop Distributed File System (HDFS) and the MapReduce framework, to efficiently count the occurrences of words in a large text dataset. In this program, the "Map" phase involves breaking down the input data into individual words and assigning a count of 1 to each word. Subsequently, the "Reduce" phase combines and sums the counts for each unique word, yielding the total count of each word in the dataset. This program serves as a fundamental introduction to the power of distributed computing and lays the groundwork for more complex data processing tasks in the Hadoop ecosystem, making it a cornerstone of big data analytics and processing workflows.
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