A preliminary exploration of database performance for use with ‘big data’ projects in the aviation industry
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This thesis will demonstrate the effectiveness of processing data for the airline industry using both a MariaDB and MongoDB database. Conclusions will be drawn on pertinent issues such as the performance of processing large datasets. It is difficult to research Big Data without encountering Hadoop as part of the process. Patel et al. (2012. p 1) describe it as the ‘optimal solution’ in their paper. They conclude that using Hadoop for Big Data processing is a favourable technology to use. However, this dissertation endeavours to research and test a viable alternative that is suitable for enterprise applications. It is for this reason that a MongoDB database, MongoDB and a MariaDB database, MariaDB have been selected for the purposes of this research. This thesis will endeavour to investigate the suitability of the airline industry making use of the data that is available to them which would enable them to specifically target passengers. It is also proposed that the results generated can be used for marketing purposes.
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