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How do reducers communicate with each other?
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Answers
This is a tricky question. The “MapReduce” programming model does not allow “reducers” to communicate with each other. “Reducers” run in isolation.
. Highlight the key differences between MapReduce and Apache Pig.
The following are the key differences between Apache Pig and MapReduce due to which Apache Pig came into picture:
Apache Pig is a high-level data flow platform, whereas MapReduce is a low-level data processing paradigm.
Without writing complex Java implementations in MapReduce, programmers can achieve the same implementations very easily using Pig Latin.
Apache Pig provides nested data types like tuples, bags, and maps that are missing from MapReduce.
Pig provides many built-in operators to support data operations like joins, filters, ordering, sorting etc. Whereas to perform the same function in MapReduce is a humongous task. Your Comment
. Highlight the key differences between MapReduce and Apache Pig.
The following are the key differences between Apache Pig and MapReduce due to which Apache Pig came into picture:
Apache Pig is a high-level data flow platform, whereas MapReduce is a low-level data processing paradigm.
Without writing complex Java implementations in MapReduce, programmers can achieve the same implementations very easily using Pig Latin.
Apache Pig provides nested data types like tuples, bags, and maps that are missing from MapReduce.
Pig provides many built-in operators to support data operations like joins, filters, ordering, sorting etc. Whereas to perform the same function in MapReduce is a humongous task. Your Comment
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