面向集团企业的数据集成模型构建方法研究
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摘要
在我国当前的经济环境中，集团型企业具有举足轻重的作用。大型企业往往组织结构形态复杂、具有多级下属分支机构、人员众多而且隶属关系复杂、业务分布在多个行业、经营地域分布广、管理模式多样、需要全方位的协同工作等特点。集团企业的大量信息散落在不同的子公司、不同部门、人员等处，信息的来源复杂，信息量非常大，整合性很差，为企业的生产管理的决策带来具大的挑战。
随着云计算的落地生根和技术的发展成熟,企业管理型应用向云计算环境下移植和部署的大背景下，集团企业迫切需要通过多数据源以及多数据中心的协作，实现将现有不同信息系统中分布且异构的数据集成起来。
数据集成能够简化企业的业务流程和工作成本，实现企业从数据中获取商业利益的目的。所以数据集成已成为企业的一项战略性工作，是提高企业核心竞争力的重要基石。通过数据集成可以使集团成员企业共享分布式数据，使新业务的开拓，集团领导的监管，风险的防范成为可能。
本文提出了云计算下基于本体的异构数据集成模型，该模型基于本体理论，按照云环境特点构建，支持各种传统存储和云存储的数据集成，满足企业用户对高并发访问以及对海量数据高效存储的需求，同时还要满足集团企业对存储数据高扩展性和高可用性以及对数据事务一致性的需求。完成集团企业信息化应用在云上的部署和迁移，促进企业信息化的发展和提升。本文工作和主要贡献包括以下几点：（1）从云计算和云存储的理论和模型出发，面向大规模的数据密集应用，提供面向用户透明的异构数据集成和访问接口服务；（2）通过将云计算环境下异构数据集成所需要的各种基本服务分层的组织起来，为用户将现有异构数据应用向云计算环境的迁移与集成提供一种更高级的抽象服务，并可以将用户的异构数据应用无缝的映射为云计算环境下统一的数据服务和行为；（3）根据用户需要，提供云计算环境下各种业务应用数据的集中管理和统一处理，实现异构数据统一的检索与处理，以及业务应用所需的异构数据之间的实质性关联与映射；（4）本文提出的模型能够实现对云计算环境中各种关系型以及非关系型异构数据的智能集成，满足用户高并发、高负载、高速处理海量数据的复杂多表关联查询请求。
因此，集团企业通过数据集成能够获取业务所需的及时且准确的信息，帮助企业进行预先控制和集成管理。集团企业实现了高度的数据集成，才能够真正对成员企业和个人进行有效监控，保证业务执行的及时和准确，提高企业的服务质量和工作效率，促进人力资源的统一调配，充分发挥企业海量数据的商业价值。
In current economic environment, the group enterprises has a pivotal role. Thegroup enterprises has features of complex organizational structure, multi-levelsubordinate branches, number of personnel and complex affiliation, business inmultiple industries, operating at a wide geographical distribution, variousmanagement models and need to collaborative working. The wealth of information ofgroup enterprises scattered in different subsidiaries, departments, staff,etc.,the sourceof information is complex,the amount of information is large, but the integration ofinformation is poor,all of these make a big challenge for enterprises to makeproduction management decisions.
With the development of the concept and technology of cloud computing, theenterprise management applications transplant and deployment to the cloudcomputing environment, need the multi-data source and multi-data centercollaboractive work,need integrate existing multi-information systems’ heterogeneousand distributed database.
We have proposed a “Based ontology heterogeneous data integration model incloud computing”.The model is based on the theory of ontology, in accordance withthe characteristics of the cloud computing environment to build, support dataintegration for all major database and cloud storage,meet the need of high concurrentaccess and efficient mass data storage, meet the demand of high scalability and highavailability,and also the consistency requirements of thd databse. Complete groupenterprises information technology applications in the cloud deployment andmigration, to promote the development and enhancement of enterprise information.
The work and major contributions include the following:
(1)Starting from the the theories and models of cloud computing and cloudstorage, for large-scale data-intensive applications, providing user-oriented andtransparent integration of heterogeneous data access interface service.
(2) Hierarchical organization of the basic services required by heterogeneous dataintegration in the cloud computing environment, existing heterogeneous dataapplications to migration and integration of cloud computing environment to providea higher level of abstraction for the user, and seamless mapping of heterogeneous dataapplications to the cloud computing environment unified data services and behavior.
(3) According to user needs, provide the data centralized and unified managementof the variety business,unified the heterogeneous data retrieval and porcessing,as wellas the need of heterogeneous data association and mapping by the businessapplications.
(4) The proposed model can be achieved on the cloud computing environment ina variety of relational and non-relational heterogeneous data integration intelligent,and meet high concurrency, high-load, high-speed processing of massive datacomplex multi-table associated with the query request.
Therefore,the group enterprises can obtain timely and accurate information,andcould do the pre-control and integrated management by data integration.Onlyachieving a high degree data integration,group enterprise could be truly effectivemonitoring of the various subsidiaries and individuals, to ensure timely and accuratebusiness execution, improve service quality and efficiency, and are conducive to theunified deployment of human resources, the enterprise data that generated by thegroup enterprises give full play to the business value.
随着云计算的落地生根和技术的发展成熟,企业管理型应用向云计算环境下移植和部署的大背景下，集团企业迫切需要通过多数据源以及多数据中心的协作，实现将现有不同信息系统中分布且异构的数据集成起来。
数据集成能够简化企业的业务流程和工作成本，实现企业从数据中获取商业利益的目的。所以数据集成已成为企业的一项战略性工作，是提高企业核心竞争力的重要基石。通过数据集成可以使集团成员企业共享分布式数据，使新业务的开拓，集团领导的监管，风险的防范成为可能。
本文提出了云计算下基于本体的异构数据集成模型，该模型基于本体理论，按照云环境特点构建，支持各种传统存储和云存储的数据集成，满足企业用户对高并发访问以及对海量数据高效存储的需求，同时还要满足集团企业对存储数据高扩展性和高可用性以及对数据事务一致性的需求。完成集团企业信息化应用在云上的部署和迁移，促进企业信息化的发展和提升。本文工作和主要贡献包括以下几点：（1）从云计算和云存储的理论和模型出发，面向大规模的数据密集应用，提供面向用户透明的异构数据集成和访问接口服务；（2）通过将云计算环境下异构数据集成所需要的各种基本服务分层的组织起来，为用户将现有异构数据应用向云计算环境的迁移与集成提供一种更高级的抽象服务，并可以将用户的异构数据应用无缝的映射为云计算环境下统一的数据服务和行为；（3）根据用户需要，提供云计算环境下各种业务应用数据的集中管理和统一处理，实现异构数据统一的检索与处理，以及业务应用所需的异构数据之间的实质性关联与映射；（4）本文提出的模型能够实现对云计算环境中各种关系型以及非关系型异构数据的智能集成，满足用户高并发、高负载、高速处理海量数据的复杂多表关联查询请求。
因此，集团企业通过数据集成能够获取业务所需的及时且准确的信息，帮助企业进行预先控制和集成管理。集团企业实现了高度的数据集成，才能够真正对成员企业和个人进行有效监控，保证业务执行的及时和准确，提高企业的服务质量和工作效率，促进人力资源的统一调配，充分发挥企业海量数据的商业价值。
In current economic environment, the group enterprises has a pivotal role. Thegroup enterprises has features of complex organizational structure, multi-levelsubordinate branches, number of personnel and complex affiliation, business inmultiple industries, operating at a wide geographical distribution, variousmanagement models and need to collaborative working. The wealth of information ofgroup enterprises scattered in different subsidiaries, departments, staff,etc.,the sourceof information is complex,the amount of information is large, but the integration ofinformation is poor,all of these make a big challenge for enterprises to makeproduction management decisions.
With the development of the concept and technology of cloud computing, theenterprise management applications transplant and deployment to the cloudcomputing environment, need the multi-data source and multi-data centercollaboractive work,need integrate existing multi-information systems’ heterogeneousand distributed database.
We have proposed a “Based ontology heterogeneous data integration model incloud computing”.The model is based on the theory of ontology, in accordance withthe characteristics of the cloud computing environment to build, support dataintegration for all major database and cloud storage,meet the need of high concurrentaccess and efficient mass data storage, meet the demand of high scalability and highavailability,and also the consistency requirements of thd databse. Complete groupenterprises information technology applications in the cloud deployment andmigration, to promote the development and enhancement of enterprise information.
The work and major contributions include the following:
(1)Starting from the the theories and models of cloud computing and cloudstorage, for large-scale data-intensive applications, providing user-oriented andtransparent integration of heterogeneous data access interface service.
(2) Hierarchical organization of the basic services required by heterogeneous dataintegration in the cloud computing environment, existing heterogeneous dataapplications to migration and integration of cloud computing environment to providea higher level of abstraction for the user, and seamless mapping of heterogeneous dataapplications to the cloud computing environment unified data services and behavior.
(3) According to user needs, provide the data centralized and unified managementof the variety business,unified the heterogeneous data retrieval and porcessing,as wellas the need of heterogeneous data association and mapping by the businessapplications.
(4) The proposed model can be achieved on the cloud computing environment ina variety of relational and non-relational heterogeneous data integration intelligent,and meet high concurrency, high-load, high-speed processing of massive datacomplex multi-table associated with the query request.
Therefore,the group enterprises can obtain timely and accurate information,andcould do the pre-control and integrated management by data integration.Onlyachieving a high degree data integration,group enterprise could be truly effectivemonitoring of the various subsidiaries and individuals, to ensure timely and accuratebusiness execution, improve service quality and efficiency, and are conducive to theunified deployment of human resources, the enterprise data that generated by thegroup enterprises give full play to the business value.
引文
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