Mapper and reducer code (hdfs cluster )

Job ID: 31805548

Budget: $10 – $30 USD

Mapper and Reducer programs that read passage.txt file from the HDFS cluster
and find the top-10 most frequent words and their frequencies. Many words may
appear in different forms in the text file, e.g. The, the, they should be considered the same word. In addition,
some words may have a double quote, single quote, or period character either in prefix or suffix
(e.g. book., “book”), your programs should be able to remove them and then consider the
remaining characters as a word.
Write Mapper and Reducer programs that read iris flower dataset iris.txt and find
the average values for each attribute for each flower class.
Related categories: Python Map Reduce Apache Hadoop