Map Reduce Example in Java 8

The map-reduce concept is one of the powerful concept in computer programming which utilizes the power of distributed and parallel processing to solve a big and heavy problems in quick time. From Java 8 onwards, Java also got this powerful feature from functional programming world. Many of the services provided by internet e.g. Google Search are based on the concept of the map and reduce. In  map reduce a job is usually split into the input data-set into independent chunks which are processed by the map tasks in a completely parallel manner. The framework sorts the outputs of the maps, which are then inputted to the reduce tasks. For example, suppose you want to calculate the average age of all the people in a town, instead of counting sequentially you can first calculate their age using the map and then calculate the average using reduce.

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