大数据背景下党建统计数据的存储电子化问题研究
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摘要
"中国特色社会主义新时代"要求党建工作创新式、科学化发展,"全面提高党的建设科学化水平"是统领党建工作的核心目标。为了实现创新式的党建科学化目标,充分利用大量党建统计数据,结合信息处理技术的最新成果,对党建问题开展量化研究,提炼隐含性、规律性知识就显得十分必要。而党建数据的电子化则是开展这一研究过程的基础。采用关系数据库理论,结合大数据存储关键技术,提出"字段元数据表"和"列簇元数据表"的方法来解决党建统计数据电子化中遇到的障碍,使得统计数据能够转换为标准的关系模型。这种转换使得存储的电子化统计数据充分反映党建信息的数据特征,同时具有很强的可扩展性和适应性,符合后续党建问题量化研究和数据分析的需求。
"The new era of socialism with Chinese characteristics" calls for innovative and scientific development of the Party construction. The core goal of the Party construction is to improve its scientific level in an all-round way. In order to achieve the scientific goal of an innovative Party construction, it is very necessary to do research quantitatively on the existing problems, and to reveal the implicit and scientific knowledge by making full use of the big data of statistics and the latest technical achievements of information processing. The electronization of the data of the Party construction is the foundation to carry out this research. In this paper, by using the theory of relational database and combining the newest technology of big data storage, the "field-metadata table" and "column-cluster-metadata table" methods are proposed to remove the obstacles generated during the process of the statistics data's electronization, which can change the complex structure of the existing statistical data into a standard relational data model. This change enables the stored electronic statistical data to reflect the full characteristics of the statistical data of the Party construction, and makes the data to have a strong scalability and adaptability, and stay in line with the needs of quantitative research on the problems of the subsequent Party construction.
"The new era of socialism with Chinese characteristics" calls for innovative and scientific development of the Party construction. The core goal of the Party construction is to improve its scientific level in an all-round way. In order to achieve the scientific goal of an innovative Party construction, it is very necessary to do research quantitatively on the existing problems, and to reveal the implicit and scientific knowledge by making full use of the big data of statistics and the latest technical achievements of information processing. The electronization of the data of the Party construction is the foundation to carry out this research. In this paper, by using the theory of relational database and combining the newest technology of big data storage, the "field-metadata table" and "column-cluster-metadata table" methods are proposed to remove the obstacles generated during the process of the statistics data's electronization, which can change the complex structure of the existing statistical data into a standard relational data model. This change enables the stored electronic statistical data to reflect the full characteristics of the statistical data of the Party construction, and makes the data to have a strong scalability and adaptability, and stay in line with the needs of quantitative research on the problems of the subsequent Party construction.
引文
① 米华全,申小蓉: 《运用大数据创新高校党建工作的思考》, 《思想理论教育》2016年第8期。
② 李华婷: 《基于大数据技术的上海高校易班党建平台建设》, 《新西部(理论版)》2015年第3期。
③ 胡燕: 《智慧时代提升党员干部数据素养的策略研究》, 《中共合肥市委党校学报》2015年第2期。
④ 葛学彬: 《大数据视域下“智慧型”执政党建设研究》, 《山西农业大学学报(社会科学版)》2015年第9期。
⑤ 黄娟,米华全,陆川: 《智慧党建:内涵特征、体系架构及关键技术——以“智慧红云”党建系统为例》, 《电子科技大学学报(社科版)》2016年第1期。
⑥ 夏行: 《论“智慧党建”的“江北实验”及其发展战略构想》, 《领导科学》2013年第7期。
(1)中广互联: 《广东移动“智慧党建”项目获推广》, http://www.tvoao.com/a/112724.aspx. 2018年7月1日访问。
(2)王珊, 萨师煊: 《数据库系统概论(第五版)》, 北京: 高等教育出版社, 2014年版, 第25页。
② 李华婷: 《基于大数据技术的上海高校易班党建平台建设》, 《新西部(理论版)》2015年第3期。
③ 胡燕: 《智慧时代提升党员干部数据素养的策略研究》, 《中共合肥市委党校学报》2015年第2期。
④ 葛学彬: 《大数据视域下“智慧型”执政党建设研究》, 《山西农业大学学报(社会科学版)》2015年第9期。
⑤ 黄娟,米华全,陆川: 《智慧党建:内涵特征、体系架构及关键技术——以“智慧红云”党建系统为例》, 《电子科技大学学报(社科版)》2016年第1期。
⑥ 夏行: 《论“智慧党建”的“江北实验”及其发展战略构想》, 《领导科学》2013年第7期。
(1)中广互联: 《广东移动“智慧党建”项目获推广》, http://www.tvoao.com/a/112724.aspx. 2018年7月1日访问。
(2)王珊, 萨师煊: 《数据库系统概论(第五版)》, 北京: 高等教育出版社, 2014年版, 第25页。