一种工业多源异构大数据组织模型和集成框架的研究与应用
Research and Application of an Industrial Multi Source Heterogeneous Big Data Organization Model and Integration Framework
沈阳 1陈洁1
作者信息
- 1. 广州工程技术职业学院信息工程学院,广东广州 510075
- 折叠
摘要
本文旨在设计一种面向工业多源异构大数据环境的组织模型和集成框架,为工业生产领域的软件开发者和决策者提供大数据集成的参考体系结构.该框架能够对结构化和非结构化数据进行有效管理,提供复合视图显示、全文检索、数据共享等功能,为软件系统开发提供数据访问接口,实现海量多源异构数据以及应用业务的聚合和扩展,使软件开发者在此框架基础上实现生产管理和决策系统的应用.
Abstract
This article aims to provide an organizational model and integration framework for industrial multi-source heterogeneous big data environments,the purpose is to provide a reference architecture for big data integration for software developers and decision-makers in the industrial production field,this framework can effectively manage structured and unstructured data,it provides functions such as composite view display,full-text retrieval,and data sharing,provide data access interfaces for software system development,realize the aggregation and expansion of massive multi-source heterogeneous data and application business,enable software developers to implement the developed production management and decision-making system based on this framework.
关键词
多源异构大数据/视图/组织模型/集成框架Key words
multi-source heterogeneous big data/view/organizational model/integrated framework引用本文复制引用
基金项目
广州市教育局2022年高校科研项目(202235310)
出版年
2024
NETL
NSTL
万方数据