The Research on the Application of Qualitative Mapping in MapReduce

摘要

MapReduce is a mathematical tool handling the large-scale data sets through paralleling and distributive calculation. Currently the operations of MapReduce mainly include sorting, grouping and joining, etc. This paper undertakes a research on qualitative mapping and MapReduce, and finds that the solution procedure of qualitative mapping can be a new way of transforming data for MapReduce. Two examples are given to illustrate how to use qualitative mapping model to transforming semi-structured or unstructured data.