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The application of big data using MongoDB: Case study with SCeLE Fasilkom UI forum data

机译:使用MongoDB的大数据应用:SCeLE Fasilkom UI论坛数据的案例研究

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Big Data is a condition in which data size in a database is very large so it is difficult to be managed. An e-Learning application, like SCeLE Fasilkom UI (scele.cs.ui.ac.id), also has a very large data. SCeLE has hundreds of forum data, and each forum has at least 4000 threads of discussion. In addition, one thread can have at least dozens or hundreds posts. Therefore, it may further experience data growth problem, which will be difficult to be handled by RDBMS, such as MySQL that is currently used. In order to solve this problem, a research been conducted to apply Big Data in SCeLE Fasilkom UI, which implementation is aimed to increase SCeLE's data management performance. The implementation of Big Data in the research used MongoDB as the system's DBMS. The research result showed that MongoDB obtain better results than MySQL in SCeLE Fasilkom UI forum data case in terms of speed.
机译:大数据是指数据库中的数据量非常大而难以管理的情况。电子学习应用程序,例如SCeLE Fasilkom UI(scele.cs.ui.ac.id),也具有非常大的数据。 SCeLE有数百个论坛数据,每个论坛至少有4000个讨论线程。此外,一个主题至少可以包含数十个或数百个帖子。因此,它可能进一步遇到数据增长问题,这将难以通过RDBMS(例如当前使用的MySQL)来处理。为了解决该问题,进行了将大数据应用于SCeLE Fasilkom UI的研究,该实施旨在提高SCeLE的数据管理性能。研究中的大数据实现使用MongoDB作为系统的DBMS。研究结果表明,在速度方面,MongoDB在SCeLE Fasilkom UI论坛数据案例中比MySQL取得更好的结果。

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