The Storage Model of Big Data Basicelements in HBase Database and Its Realization

Li Qiao-; Qiang Bao-hua; Yang Chun-yan

doi:10.3969/j.issn.1007-7162.2014.03.002

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The Storage Model of Big Data Basicelements in HBase Database and Its Realization

更新时间：2026-05-27

- The Storage Model of Big Data Basicelements in HBase Database and Its Realization
- Vol. 31, Issue 3, Pages: 8-13(2014)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1007-7162.2014.03.002
  CLC：
- Online First：30 September 2014，
  
  Published：2014
- 稿件说明：
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李桥兴, 强保华, 杨春燕. 大数据基元的HBase数据库存储模型与实现[J]. 广东工业大学学报, 2014, 31(3): 8-13.

Li Qiao-, Qiang Bao-hua, Yang Chun-yan. The Storage Model of Big Data Basicelements in HBase Database and Its Realization[J]. 2014, 31(3): 8-13.
李桥兴, 强保华, 杨春燕. 大数据基元的HBase数据库存储模型与实现[J]. 广东工业大学学报, 2014, 31(3): 8-13. DOI： 10.3969/j.issn.1007-7162.2014.03.002.

Li Qiao-, Qiang Bao-hua, Yang Chun-yan. The Storage Model of Big Data Basicelements in HBase Database and Its Realization[J]. 2014, 31(3): 8-13. DOI： 10.3969/j.issn.1007-7162.2014.03.002.

摘要

大数据将在未来经济、社会和生活等领域产生深远影响，而大数据的整合存储研究为促进和深化其应用范围有重要的理论和实践意义.本文利用分布式文件系统HBase的数据存储结构特征，采用可拓学基元对异构数据集进行整合处理并存储在HBase数据库.通过提取数据特别是半结构化和非结构化数据的典型特征和属性取值并转换为基元后生成一个新的数据集，不但为数据分析和数据解释提供一种新的实现方式，而且为领域问题的策略生成提供大数据的研究思路和解决方案.

Abstract

Big data will have a profound impact on economics

society and life in the near future

and the research on integration and storage of big data may play an important theoretical and practical role in promoting and deepening the application scope of big data. It utilized the data storage structure of the distributed file system named as HBase and the basicelement of Extenics to integrate the heterogeneous data sets

and then stored the processed data set in HBase database. The new data set

which was obtained by extracting the typical characteristics as well as their value of data

especially the semistructured and unstructured data

provides not only a new way for the analysis and interpretation of data but also the research ideas and strategy generation for the professional issues from the perspective of big data.

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The Method for Solving Multiple Criteria Ill-defined Problems Based on Extenics

Extension Classification Method for Label Variability

Research on Conductive Rules Between Heterogeneous Multi-dimensional Compound-elements and Its Application

Improvement of the Transforming Bridge Method and Its Application

Development and Research Progress of Extenics over the Past 40 Years

Related Author

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Tian Yingjie

Liu Dalian

Li Xingsen

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Yang Chun-yan

Related Institution

School of Electromechanical Engineering, Guangdong University of Technology

Institute of Extenics and Innovation Methods, Guangdong University of Technology

Research Institute of Extenics and Innovation Methods, Guangdong University of Technology

Institute of Fundamental and Interdisciplinary Sciences, Beijing Union University

Institute of Mathematics and Physics, Beijing Union University

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