Map Reduce:

Map Reduce is a process where large storage data or big data gets analyzed by themselves.

One computer could not handle and process the big data or multiple datasets are involved by itself.

Map reduce is a process where large analytical data sets are being split into smaller task.

The process involved is splitting the larger tasks into smaller tasks and assigning them to different computers and after completion the results are gathered from different computers and finally combining them to obtain the final resultant that is obtained for the original task.

In Map Reduce, “Map” indicates the work done by the individual computer and “Reduce” indicates the final resultant obtained after combining...

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Chapter 8, Problem 8.45RQ

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Database Concepts (7th Edition)

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Solution Summary: The author describes Map Reduce as a process where large storage data or big data gets analyzed by themselves. The process involves splitting the larger tasks into smaller tasks and assigning them to different computers.

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