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Research on Semi-Structured and Unstructured Data Storage and Management Model for Multi-Tenant

机译:多租户的半结构化和非结构化数据存储和管理模型研究

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摘要

In order to solve the problem of data isolation and storage caused by the growth of semi-structured and unstructured data in SaaS mode, the multiple-universal table data storage and management model based on XML is proposed. XML management technology is introduced into the model, and using it to improve and optimize the multiple-universal table data storage model, and the model can effectively solve the problem of storage and management of semi-structured and unstructured data. Comparative experimental results show that, the method has high storage density and access rate, can be very good to meet the customized demand for multi-tenant data.
机译:为了解决SaaS模式下半结构化和非结构化数据的增长导致的数据隔离和存储问题,提出了一种基于XML的多表数据存储和管理模型。该模型引入了XML管理技术,用于改进和优化多表数据存储模型,该模型可以有效解决半结构化和非结构化数据的存储和管理问题。对比实验结果表明,该方法具有较高的存储密度和访问速率,可以很好地满足定制的多租户数据需求。

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