大数据技术的诠释学分析

A Hermeneutics Analysis of Big Data Technology

诠释学就是要通过理解和解释,呈现出文本的意义,掌握文本的精神,达到应用的目的。在大数据技术的诠释中,海量数据是作为待诠释的数据文本的形式存在。数据文本自身不具有内在的结构,是一种非结构化的存在,只有在大数据技术诠释中,数据文本给定的诸事实与外在于数据文本的事实之间才建立起一种结构性关系,这就是数据文本的非结构化的结构性特征。在大数据技术诠释中,数据只是给定的事实,数据文本本身不具有意义。只有在大数据技术诠释中,经过描述型分析、诊断型分析、预测型分析和指令型分析这样一个完整的诠释径路,海量数据才能被理解,数据文本的意义才得到实现,大数据技术应用才成为可能。大数据技术诠释对数据文本的诠释是关系性的,也就是,在大数据技术诠释中,我们对大数据文本所做的是关系诠释。在大数据技术诠释从描述型分析到诊断型分析再到预测型分析最后到指令型分析的每一次过渡中,关系都被显现和确立了起来。

Hermeneutics is to understand and interpret the meaning of the text,grasp the spirit of the text to achieve the purpose of application. In the interpretation of big data technology,massive data exists as a form of data text to be interpreted. The data text itself does not have the inherent structure,as it is a kind of unstructured existence. Only in the interpretation of big data technology,a structural relationship is constructed between the given facts of the data text and those beyond the text,which is the unstructured structural feature of the data text. In the interpretation of big data technology,data is only a given fact,and the data text itself is not meaningful. Only in the interpretation of large data technology,through a complete interpretation path,such as descriptive analysis,diagnostic analysis,predictive analysis and instruction analysis,can the mass data be understood,the meaning of data text be realized,and the application of large data technology be possible. Therefore,big data technical interpretation is related to the interpretation of data text,that is,in the interpretation of big data technology,what we do to big data text is a relational interpretation. Relations have been shown and established in each transition from descriptive analysis,diagnostic analysis,and predictive analysis to instructive analysis.