Parallel Sorted Neighborhood Blocking with MapReduce

Details Parallel Sorted Neighborhood Blocking with MapReduce Parallel Sorted Neighborhood Blocking with MapReduce

2010-10-15

arxiv.org/abs/1010.3053v1

Computer Science

Distributed, Parallel, and Cluster Computing

Scientific paper

Cloud infrastructures enable the efficient parallel execution of data-intensive tasks such as entity resolution on large datasets. We investigate challenges and possible solutions of using the MapReduce programming model for parallel entity resolution. In particular, we propose and evaluate two MapReduce-based implementations for Sorted Neighborhood blocking that either use multiple MapReduce jobs or apply a tailored data replication.

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