Similarity join is the problem of finding pairs of records with similarity score greater than some threshold. In this paper we study the problem of scaling up similarity join for different metric ...
If you are into big data, you must be already aware of the popularity of MapReduce. There is a massive demand for MapReduce professionals in the Industries. Many candidates are willing to build their ...
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There is a growing need for ad-hoc analysis of extremely large data sets, especially at internet companies which routinely process petabytes. Parallel database products, e.g., Teradata, offer a ...
Abstract: Now a day's processing huge amount of data open challenge in web resources. Map Reduce Programming model is solution to this problem. This framework is useful to compute distributed batch of ...
Abstract: This paper presents result analysis of K-Mediod algorithm, implemented on Hadoop Cluster by using Map-Reduce concept. Map-Reduce are programming models which authorize the managing of huge ...
This program aims to illustrate the basic functioning of a MapReduce framework, it runs on local machine but forking the corresponding worker processes to simulate parallel processing in a cluster of ...