数据、内容和元数据管理之间的关系。
元数据管理是数据管理非常重要的部分。
Metadata management is a very important part of data management.
元数据的存储是实现元数据管理的前提。
因此，我们将在本文的后半部分从元数据管理开始说起。
Therefore, we begin with metadata management in the second half of this paper.
该文档大量谈及元数据管理和单独副本集对它的实现方式。
The documentation talks a lot about metadata management and ways in which individual replica sets can implement it.
这些提供商实现用于对象传输、管理和元数据管理的API。
These providers implement APIs for object transfer, management, and metadata management.
另一方面，元数据管理的需求与数据和内容管理是十分类似的。
On the other hand, requirements for metadata management are very similar to data and content management.
基于 Web 的用户界面还用于执行服务元数据管理和治理。
The Web-based user interface is also used for performing service metadata management and governance.
缺少元数据管理，用户很难分析和逐步调整数据清洗过程。
The last is lack of management of metadata, so the users cann't analyse or adjust the data cleaning processes.
元数据管理：业务需求、数据模型、ETL过程设计、用户手册，等等。
Metadata management: business requirements, data models, ETL process designs, user manuals, and so on.
统计与科学数据库系统中的元数据管理是一项十分复杂的任务。
It is a difficult task to manage the meta-data in statistical and scientific database systems.
XML十分适合于出版中的另一个重要需求：内容元数据管理。
XML is well-suited to another important requirement in the publishing industry: content metadata management.
元数据管理是提供数据可理解、使用和管理的管理信息的过程。
Meta data Management is the process for managing information needed to promote data legibility, use and administration.
管理员可以使用操作元数据管理系统、诊断问题并确保一切顺利运行。
Operational metadata is what enables the administrators to manage the system, troubleshoot issues, and ensure that things are running smoothly.
提出了一个高度可集成可扩展的元数据管理框架和元模型建模规范；
A highly-integration and extensible framework of meta-data management and the criterion of modeling meta-model are presented.
本文研究集群文件系统的特征，提出了一种分布式元数据管理技术。
This paper studies the characteristics on the cluster file systems, and proposes a solution to the management of distributed metadata.
元数据管理系统是构建、管理、维护和使用数据仓库系统的核心部件。
Metadata management system is the core of construction and management and maintenance and use data warehouse system.
该模式有助于图书馆元数据管理系统的建立及用户体验与忠诚度的提升。
The model will contribute to set up the Metadata Management System as well as leverage user experience and loyalty.
在基于集群技术的大规模文件系统中，有效的元数据管理是系统实现的核心。
In the large scale file systems based on the cluster technology, the efficient management of meta-data is critical.
为国家基础地理信息动态数据库元数据管理提供了一定的理论基础和技术原型。
This system provides the academic bases and technical prototype for the construct of National Fundamental Geo-information dynamic metadata management system.
元数据管理需要提供关于安全性、协作、QoS和可管理性的相同的服务类型。
Metadata management needs to offer the same types of services on security, collaboration, QoS, and manageability as on data and content management.
当我们重新设计元数据管理时，由于XML的普及，它显然是元数据的缺省数据格式。
When we reengineer metadata management, XML obviously is a default data format for metadata because of its ubiquity.
元数据管理关键在于构建一个全面的、可扩展的元数据模型，表示各种类型的元数据。
The keys of metadata management lie in the construction a comprehensive and extended metadata model which describes all kinds of metadata.
本文主要介绍电子文件元数据模型的管理理论和电子文件元数据管理系统的理论与设计。
This article introduces the theory of electronic record metadata model and the design of electronic document metadata management system.
元数据管理技术和元数据管理策略都是进行成功的元数据集成所必需要重视的研究内容。
Meta-data management technology and metadata management strategies are successful integration of meta-data will need to focus on the content of the study.
ActiveDirector y域控制器通过使用复制元数据管理目录更改的传输。
Active directory domain controllers manage the transmission of directory changes through the use of replication metadata.
供应链中的商务合作伙伴可以在本地采用XM L元数据管理系统生成自己的数据交换格式。
Each business partner within the supply chain can be allowed to generate its own information exchange format by adopting an XML meta-data management system in the local side.
客户端可能执行直接I/O ，给出布局的回执，而NFSv4.1服务器处理元数据管理和存储。
The clients may perform direct I/O given receipt of the layout, and the NFSv4.1 server handles metadata management and storage.
元数据管理是提供数据可理解、使用和管理的管理信息的过程。主要用来记录数据、行为和知识。
Meta data Management is the process for managing information needed to promote data legibility, use and administration. Contents are described in terms of data about data, activity and knowledge.
元数据管理还要将SSO、ETL、联合、质量、搜索、版本控制、工作流和储存持久性结合在一起。
Metadata management also needs to incorporate SSO, ETL, federation, quality, search, versioning, workflow and storage persistence.
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