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相对于结构化数据而言,非结构化数据指不方便用数据库二维逻辑表来表现的数据。高校非结构化档案数据包括由各类业务系统产生的档案数据,随着高校非结构化档案数据不断膨胀,高校对数字档案馆的信息处理能力和信息资源建设能力提出了更高要求。目前应用的各种管理非结构化数据的技术存在诸多弊端,如,处理不同文件时,服务器的写入路径需要变换,由此给数据管理带来很多不便,还容易造成文件丢失。下面,笔者
As opposed to structured data, unstructured data refers to data that is not conveniently represented by a database two-dimensional logical table. The unstructured archives data of colleges and universities include archival data generated by various business systems. With the unstructured archives data in colleges and universities, the colleges and universities have put forward higher requirements on the digital archives’ ability of information processing and information resource construction. Currently, various technologies for managing unstructured data have many drawbacks. For example, when processing different files, the writing path of the server needs to be changed, which brings a lot of inconveniences to the data management and easily causes file loss. Below, the author