数据共享带来更高的可用性。
最后，数据共享技术的进步日新月异。
Finally, data sharing technologies were improved dramatically.
数据共享和PLM战略。
团队需要软件来执行集群操作、数据共享等。
The team needs software for performing the clustering operations, data sharing, and so on.
尽管如此，最关键的还是开放性、数据共享和优化。
However, the focus needs to be on the openness, data sharing and optimization.
数据采集契约促成应用、服务的数据共享。
The picker contract allows applications and services to share data.
使得在企业应用程序及业务流程之间实现有效的数据共享。
Enable efficient data sharing across enterprise applications and business processes.
公共卫生研究资助者正在开始呼吁变革和制定数据共享政策。
Funders of public health research are beginning to call for change and developing data sharing policies.
数据共享可以发生在企业内部，也可以发生在多个企业之间。
The data sharing might occur within a single enterprise or, in the case of trading partners, across multiple enterprises.
所有客户端的日志和数据有一个集中的数据共享架构。
The logs and data-sharing architecture are centralized for all the clients.
如上所示，这些应用程序和角色都将从改善的数据共享中获得益处。
These applications and roles would benefit from improved data sharing as exemplified above.
将DB2用于z/OS 7.1Sysplex数据共享
该软件将增强态势感知能力，促进通信能力和跨多个系统的数据共享。
The software will enhance situational awareness and facilitate communication and sharing of data across multiple systems.
扩展DB 2服务器涉及将一个或多个成员添加到现有数据共享组中。
Scaling DB2 servers involves just adding one or more members to existing data sharing group.
除了数据共享和网络通信方面的考虑之外，还必须考虑集群设计的可管理性。
Beyond data sharing and network traffic considerations, you must consider manageability in the cluster design.
我们变得越来越依赖数据共享、大容量存储功能，并且需要保证数据的安全。
We have become increasingly reliant on data sharing, large storage capacities, and the need to keep data safe.
个人资金，与更多的公开合作及数据共享模式相结合，将帮助我们超越巅峰。
Private dollars, combined with broader adoption of open collaboration and data-sharing models, will help push us over the top.
当使用那些分散的工具的时候，工具之间的数据共享就变的很麻烦。
When using a number of different tools, exporting and importing data from one to the other might prove troublesome.
WebSphere为集群方式的应用程序提供了实时的、完全一致的数据共享。
WebSphere provides real-time fully coherent data sharing for clustered applications.
现在我们通过最简单的集成开始讨论集成模式，该集成仅涉及应用程序之间的数据共享。
Let's start the discussion about integration patterns with the simplest integration involving only data sharing between the applications.
Dream的用户可以一次执行多个应用任务，多任务之间的内容和数据共享也更方便。
The Dream will also allow users to run multiple applications at once and more easily share contacts and data between them.
该规范为SOA资源仓库定义了一个公共的数据模型，促进了对公共工具的使用和数据共享。
The specification defines a common data model for SOA repositories which facilitates the use of common tooling and data sharing.
轻量级、敏捷的过程反映了Web的基本特性，因此应该以数据或数据共享的组织方式为中心。
Lightweight, agile process mirrors the basic nature of the Web, and so does focusing on the data, and how data is organized for sharing.
它在进行快速数据共享和驱动由数十个数据库24x 7组成的复杂层级时很方便。
It comes in handy for quick data sharing as well as to power complex hierarchies of dozens of databases 24x7.
以下是我认为数据共享工具值得投入的三大理由，以及如何与你所在公司的PLM战略联系起来。
Here is my take on top three reasons why you need to invest in data - sharing tools and how it can be related to PLM strategy in your company.
由于是根据程序代码内的定义读写文件，没有外部数据定义，这使得数据共享很难且不可能进行专门报告。
Because a file was written and read according to definitions within the program code, there was no external data definition, making data sharing difficult and AD hoc reporting impossible.
它也的确采取过一些有效步骤来稳定市场，例如石油数据共享行动，但是其作用相对来说还是有限。
It has taken some useful steps that may help to stabilise markets, such as the Joint Oil Data Initiative, but it plays a relatively minor role.
为更好地进行协作和数据交换，CAD和PLM公司将会开始忙着提供各种将数据共享到云计算服务器的解决方案。
CAD and PLM companies are starting to offer solutions to share data on the cloud for better collaboration and data exchange.
Sysplex查询并行(一个DB 2数据共享组中的多用户和多任务)是在DB 2UDBv5中引入的。
CP parallelism (multiple tasks on multiple CPs) was implemented in DB2 V4. Sysplex query parallelism (multiple tasks on multiple members of a DB2 data sharing group) was introduced in DB2 UDB V5.
Sysplex查询并行(一个DB 2数据共享组中的多用户和多任务)是在DB 2UDBv5中引入的。
CP parallelism (multiple tasks on multiple CPs) was implemented in DB2 V4. Sysplex query parallelism (multiple tasks on multiple members of a DB2 data sharing group) was introduced in DB2 UDB V5.
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