Introduction MapReduce is a key method for parallel analysis of business data. Unlike statistical methods, MapReduce is an umbrella term for the way data is being split, process and the combined. Each data analysis may need its own MapReduce implementation. Directions Pick one of the use of MapReduce algorithms below: Computing selections by MapReduce Computing projections by MapReduce Union, Intersection, and difference by MapReduce Computing Natural Join by MapReduce Computing and aggregation by MapReduce Matrix multiplication Matrix multiplication with one MapReduce Step Explain how MapReduce will work in this case. Provide a numerical example, demonstrating what mapper and reduces will be doing in that case.