系统文献综述:数据库优化技术

Rizki Ashari, M. Akbar, Winata Dharmawan Thamrin, Novita Hanafiah
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引用次数: 0

摘要

大数据优化是获得准确、快速数据的关键。此时数据的状况非常多,因此必须做优化。随着技术的发展,产生的数据越来越多,一些数据优化技术仍然需要较长的时间才能得到最优的结果。本研究旨在利用现有的几种技术,找出几种优化数据库的方法。使用的设计是文献综述。使用的论文标准是2005-2020年发表的论文。在本文中,我们研究了几种优化数据库的方法,使用的方法,以及在数据库优化过程中存在的挑战。根据收集的论文,发现确实有很多方法可以优化数据库。然后在数据库优化中有许多方法使用了Map Reduce算法,并证明该算法可以减少数据传输时的工作量,这给数据库优化带来了一些挑战。这篇研究论文展示了如何从多个来源优化数据库。然后解释了数据库优化中使用的方法或算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Systematic Literature Review: Database Optimization Techniques
Big data optimization is the main thing in getting accurate and fast data. The condition of the data at this time is very much, therefore optimization must be done. As technology develops, more and more data is generated, some data optimization techniques still take a long time to get optimal results. This research paper aims to find out several ways of optimizing the database with several existing techniques. The design used is a literature review. The criteria for the papers used are those published in 2005–2020. In the paper that we have researched, there are several ways to optimize a database, the methods used, and the challenges that will exist during database optimization. Based on the collected papers, it was found that there are indeed many ways to optimize the database. Then there are many methods in database optimization that use the Map Reduce Algorithm, and it is proven that the algorithm can reduce the amount of work time when transferring data, and there are several challenges in database optimization. This research paper shows how to optimize the database from several sources. Then there is an explanation of the methods or algorithms used in database optimization.
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