Konferenzbeitrag
Parallel sorted neighborhood blocking with MapeReduce
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Dokumententyp
Text/Conference Paper
Dateien
Datum
2011
Autor:innen
Zeitschriftentitel
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Bandtitel
Quelle
Datenbanksysteme für Business, Technologie und Web (BTW)
Regular Research Papers
Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
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.