The goal of entity resolution is the identification of semantically equivalent objects within one data source or between different sources. In the context of Big Data, there is a growing need for large‐scale entity resolution to find matching entities within very large and between many data sources. This requires effectively parallelizing entity resolution tasks within cluster environments.