Performance Of Mysql ( Non Cluster ) And Hadoop

1243 WordsMay 3, 20165 Pages
Overview: This section describes the purpose of this research, the rationales for undertaking it and the background knowledge that is relevant to this research. It provides the research background that describes the polemic in the Database Management Systems (DBMS); research question in regards of performance of MySQL (non cluster) and Hadoop; the research aim; the research objectives; and the research outline. 1.1. Background The weakness of the relational database unfolded by the rise of web-driven application (Lake and Crowther, 2013; Dede et al., 2013), whereas non-relational database gained their popularity (Li and Manoharan, 2013; Parker et al., 2013; Prasad and Gohil, 2014). However, since it was believed that a relational and a non-relational database had a different function, therefore Parker et al. (2013); Tudorica and Bucur (2011) stated that those databases were not comparable. Relational database appropriates for modest structured dataset, while non-relational database suitable for large unstructured dataset (Parker et al., 2013). In regards of choosing a database platform, it was recommended to choose a database platform that had an excellent performance (A MySQL AB, 2005; Lake and Crowther, 2013; Kulshrestha and Sachdeva, 2014). In the era of web-driven database application, it is necessary to have an excellent performance of database due to the necessity of processing a huge amount of data traffic (Butcher and Maslakowsky, 2003). Due to the important role
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