A Survey on an Efficient Query Processing and Analysis on Big Data (RDF) Using Map Reduce

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Provided by: International Journal for Innovative Research in Science and Technology (IJIRST)
Topic: Big Data
Format: PDF
In big data analysis semantic Web large data analysis is an important topic in cloud computing that are used particularly using RDF (Resource Description Framework). This has positioned the issue of scalable data processing techniques for RDF as a vital issue in the semantic Web research community. The RDF data model is a fine-grained model representing associations as binary relations. Thus, responding queries over RDF data requires several join operations to reassemble related data. While MapReduce based processing is emerging as the Map and Reduce paradigm for processing large scale data.
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