MapReduce
In computer science, MapReduce is a procedure that prepares data for parallel processing on multiple computers. The “map” function sorts the data, and the “reduce” function generates frequencies of items. The combined overall system manages the parceling out of the data to multiple processors, and managing the tasks. Apache Hadoop is a popular open-source implementation of MapReduce, featuring the ability to use low cost commodity hardware for the processing tasks.
Planning on taking an introductory statistics course, but not sure if you need to start at the beginning? Review the course description for each of our introductory statistics courses and estimate which best matches your level, then take the self test for that course. If you get all or almost all the questions correct, move on and take the next test.
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