Data Loading and Migration Methods in the Cloud Environment

Michal Kvet, K. Matiaško
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引用次数: 1

Abstract

Currently, most of the databases are migrated to the cloud environment ensuring reliability, stability, and scalability. Companies do not need to have their own database managers and administrators. With the increase of the data amount, it is necessary to take loading and import methods into the account, to optimize the whole process and minimize time and resource demands. In comparison with the local server storage located physically in the company, there should be an emphasis on the communication channel reliability and process supervision. This paper summarizes the methods available to load data into the Oracle Cloud environment supplemented by the own technique definition. It is based on structure management and index extraction outside the main transaction by pointing to the Notofication_module. Thanks to that, loading and migration operations can be optimized reducing the costs.
云环境下的数据加载和迁移方法
目前,大部分数据库已经迁移到云环境,保证了可靠性、稳定性和可扩展性。公司不需要拥有自己的数据库管理器和管理员。随着数据量的增加,有必要将加载和导入方法纳入到帐户中,以优化整个流程,最大限度地减少时间和资源需求。与公司内部的本地服务器存储相比,通信通道的可靠性和过程监督应该得到重视。本文总结了将数据加载到Oracle Cloud环境的可用方法,并补充了自己的技术定义。它基于结构管理和通过指向Notofication_module在主事务之外提取索引。因此,可以优化加载和迁移操作,从而降低成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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