Practical Concurrent Haskell: With Big Data Applications

© Stefania Loredana Nita and Marius Mihailescu 2017

Stefania Loredana Nita and Marius Mihailescu, Practical Concurrent Haskell, https://doi.org/10.1007/978-1-4842-2781-7_17

17. Big Data and Large Clusters

Stefania Loredana Nita¹  and Marius Mihailescu¹

(1)Bucharest, Romania

MapReduce represents a simple programming model, used in applications that generate and process large sets of data. All what the programmer needs to do is to implement the map and the reduce functions, as follows: map function processes a (key, value) pair, resulting an intermediary list of (key, value) pairs, and the reduce function takes as parameter the list resulted from map and merges all intermediary values that correspond to the same intermediary key.

Programs that adopt ...