Cascading map-side joins over HBase for scalable join processing

@article{PrzyjacielZablocki2012CascadingMJ,
  title={Cascading map-side joins over HBase for scalable join processing},
  author={Martin Przyjaciel-Zablocki and Alexander Sch{\"a}tzle and Thomas Hornung and Christopher Dorner and Georg Lausen},
  journal={CoRR},
  year={2012},
  volume={abs/1206.6293}
}
One of the major challenges in large-scale data processing with MapReduce is the smart computation of joins. Since Semantic Web datasets published in RDF have increased rapidly over the last few years, scalable join techniques become an important issue for SPARQL query processing as well. In this paper, we introduce the Map-Side Index Nested Loop Join (MAPSIN join) which combines scalable indexing capabilities of NoSQL storage systems like HBase, that suffer from an insufficient distributed… CONTINUE READING
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