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New Cardinality Notations and Styles for Modeling NoSQL Document-store Databases

机译:用于建模NoSQL Document-Store数据库的新基数符号和样式

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Nowadays, data with several characteristics such as volume, variety etc. are generated daily, i.e. big data; its complexity cannot be overemphasized. On the other hand, schema free NoSQL databases keep emerging at almost the same phase to accommodate such data which cannot be efficiently managed by relational databases. However, this advancement brings about the challenge to model such flexible databases and capably manage big data despite its complexity. In doing that, developers tend to apply their relational modeling skills; nonetheless, such skills may not be directly compatible with NoSQL databases due to their schema flexibility, linear scalability among others. To alleviate this difficulty, we propose a standard for modeling NoSQL databases, document-stores in particular. The standard can be classified as i) cardinality notations, and ii) relationship modeling styles. With such standard, NoSQL document-store databases can be properly designed, automated database testing can be applied, and database performance and stability can be considerably improved. To achieve this, experimental method is applied. Also, exploratory approach was used to explore the available literature as well as experts consultations. All possible entity relationships were extracted, aggregated and compiled from a heuristic evaluation of existing 4 different document-store databases. An experiment was conducted to assess the effect of the proposed standards, results indicate a profound improvements in various aspect of document modeling when the proposed standards are adopted, especially in a large scaled databases.
机译:如今,每天产生具有若干特性的数据,例如体积,变量等。它的复杂性不能过分强调。另一方面,架构免费NoSQL数据库在几乎相同的阶段继续出现,以适应这些数据,这些数据无法通过关系数据库有效管理。然而,这一进步为模型提出了这种灵活数据库的挑战,并且尽管有复杂性,但能够管理大数据。这样做,开发人员倾向于应用他们的关系建模技巧;尽管如此,由于其模式灵活性,其他技能,这些技能可能不会与NoSQL数据库直接兼容。为了减轻这种困难,我们提出了一个用于建模NoSQL数据库的标准,特别是文档存储。该标准可以分类为I)基数符号和II)关系建模样式。通过这种标准,可以正确设计NoSQL Document-Store数据库,可以应用自动数据库测试,并且可以大大提高数据库性能和稳定性。为实现这一点,应用实验方法。此外,探索性方法被用来探索可用的文献以及专家咨询。从现有4个不同文档商店数据库的启发式评估中提取,聚合和编译所有可能的实体关系。进行了实验以评估拟议标准的效果,结果表明在采用拟议标准时,尤其是在一个大型数据库中的文献建模各个方面的深刻改善。

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