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首页> 外文期刊>International Journal of Business and Management >How Data Access, Manipulation, Query, and Storage Has Transformed Overtime: A Study Based on User Perspective
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How Data Access, Manipulation, Query, and Storage Has Transformed Overtime: A Study Based on User Perspective

机译：数据访问，操作，查询和存储如何随着时间的推移而改变：基于用户角度的研究

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The purpose of this research is to provide practioners with information from the perspective of end users, database administrators, and developers regarding concerns and benefits of data management, data access, data manipulation, data query, and data storage in today’s workplace. Synergy between data managers and end users is also a topic of discussion in this paper. The research results find that end users requirements are growing, organizational data needs are expanding, and database administrators and developers have more data challenges due to the increase of data security requirements and administrative processes within organizations. Due to the increasing data needs, end users are becoming more adept in creating their own reports. The reporting techniques available to end users must ensure data security and integrity standards are in place. Developers of graphical user interface (GUI) tools are responsible for safeguarding data. Database administrators and developers must always think of data security throughout the entire lifecycle of the data when coding applications to ensure data security is consistent, even after it leaves the premise. Cloud computing and big data is also an important aspect of data management in the future. An examination of cloud computing and big data constructs on existing data is also important as organizations adopt new technologies.
机译：这项研究的目的是从最终用户，数据库管理员和开发人员的角度为从业人员提供有关当今工作场所中数据管理，数据访问，数据处理，数据查询和数据存储的关注和好处的信息。数据管理器与最终用户之间的协同作用也是本文讨论的主题。研究结果发现，由于组织内部对数据安全性要求和管理流程的增加，最终用户的需求在不断增长，组织数据的需求也在不断扩大，数据库管理员和开发人员面临着更多的数据挑战。由于数据需求的增长，最终用户越来越擅长创建自己的报告。最终用户可以使用的报告技术必须确保数据安全性和完整性标准到位。图形用户界面（GUI）工具的开发人员负责保护数据。在对应用程序进行编码时，数据库管理员和开发人员必须始终在数据的整个生命周期中考虑数据安全性，以确保数据安全性即使在离开前提后也保持一致。云计算和大数据也是未来数据管理的重要方面。随着组织采用新技术，检查云计算和基于现有数据的大数据构造也很重要。

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