There are the following techniques that are used to analyze massive amounts of data: MapReduce paradigm, parallel DBMSs, column-wise store, and various combinations of these approaches. We focus in a MapReduce environment. Unfortunately, join algorithms is not directly supported in MapReduce. The aim of this work is to generalize and compare existing equi-join algorithms with some optimization techniques.
CITATION STYLE
Pigul, A. (2012). Comparative Study Parallel Join Algorithms for MapReduce environment. Proceedings of the Institute for System Programming of RAS, 23, 285–306. https://doi.org/10.15514/ispras-2012-23-17
Mendeley helps you to discover research relevant for your work.