数据环境 meaning in English
data environment
Examples
- As a new technology of data warehouse in data management field , the technique has remedied the shortcoming of original database and has developed the original data environment which has developed unitary database as center into diversified , comprehensive according and facing the environment of analysis . and its marrow lies into it puts forward a synthetic solving schema which aims at the on line of analysis process ( olap ) with many former technical inferences , it is a kind of concept mainly and complete systematic structure under this concept guidance
数据仓库技术作为一项数据管理领域的新技术，弥补了原有的数据库的缺点，将原来的以单一数据库为中心的数据环境发展为数据处理多样化、综合的，面向分析的环境，其精髓在于针对联机分析处理( olap )提出了一种综合的解决方案，是公认的解决在信息技术中存在的拥有大量数据而有用信息贫乏的有效途径。 - The automation of electric power system is developing toward open , standardization and distribution . the problem caused by the disunity of communication protocol in electric system , is becoming standing out more and more . the demand for standardization of the protocol and the desirability of constructing a transparent data environment are more urgent . it has become a common problem that realizing data communication and data sharing in different protocol systems
电力系统自动化正朝着标准化、分布式和开放性的方向发展。在电力系统通信中由于规约不统一而引起的问题显得日益突出，人们对网络协议标准化的要求和建立透明的数据环境的愿望也越来越来迫切。在不同的协议体系中实现数据通信和数据共享成为了一个普遍问题。 - Then , the technology of on - line analytical processing ( olap ) and data mining ( dm ) in the dw tools layer are illustrated in detail . at last , this thesis explained the application background and current on - line transaction processing ( oltp ) data environment about the application of dss . furthermore , it put forward a dss architecture based on dw and designed the dw together with the application of olap and dm . ,
接着介绍了数据仓库的基本概念、数据组织结构以及数据仓库的设计方法与步骤,然后对数据仓库工具层的联机分析处理技术和数据挖掘技术予以详细阐述;本文最后介绍了决策支持系统应用的应用背景和现行的事务型数据环境,并且提出了一个基于数据仓库技术的dss体系结构方案,进行了数据仓库设计、联机分析处理和数据挖掘等应用设计。 - We can obtain the information that we indeed want less we analyze and mine a lot of data . then , this paper discuss that in order to satisfy decision - making , on the base of data - base , a new data warehouse that can meet the decision - making is built . data warehouse has these important characteristics : subject - oriented , data integration , data changing , data non - disappearing , data gathering and decision - making
然后，本文讨论了为满足管理的决策分析需要，在数据库基础上产生了能够满足决策分析所需要的数据环境? ?数据仓库数据仓库具有这样一些重要的特性：面向主题性、数据集成性、数据的时变性、数据的非易失性、数据的集合性和支持决策作用。 - And at the same time , the data warehouse and data mart technologies , which are the information origin for the dss and dm , have been extensively evolved also the importance of data warehouse and data mart is that they offer a data environment for dss and dm
决策支持系统、数据挖掘技术目前已得到了广泛的应用，作为这两者的信息来源数据仓库和数据集市技术也得到了相应的发展。数据仓库和数据集市的重要性在于它为决策支持系统和数据挖掘提供了一个数据环境，因而数据集市和数据仓库技术的重要性是显而易见的。