Assign the datastores to users.
把数据存储分配给用户。
Create datastores and assign users to datastores.
创建数据存储并把数据存储分配给用户。
Create datastores and assign datastores to users.
创建数据存储并把数据存储分配给用户。
Create datastores for source and target databases.
为源和目标数据库创建数据存储。
Datastores were formerly referred to as replication agents.
数据存储以前称为复制代理。
Create tables in source and target datastores for CDC replication.
在用于cdc复制的源和目标数据存储中创建表。
Assign both the datastores for your source and target databases to users.
把源和目标数据库的数据存储都分配给用户。
This section describes how to create datastores for your source and target databases.
本节描述如何为源和目标数据库创建数据存储。
It packages different Rational datastores used by Rational products into one single repository.
它将Rational产品所使用的不同Rational数据存储库包装为一个单独的存储库。
Distributed, infinitely scalable and highly reliable datastores are the next Holly grail of our industry.
分布式、可伸缩及高可靠的数据存储将成为业界的下一个圣杯。
The source and target shown in Figure 9 correspond to the datastores you created in the previous section.
图9所示的源和目标对应于前一节中创建的数据存储。
Play makes it pretty easy to switch in and out of various datastores, and it supports JPA out of the box.
Play使得切换各种数据存储非常轻松，它开箱即用地支持JPA。
Querying of the supported datastores can be performed using JDOQL, JPQL or SQL (dependent on the datastore).
可以使用JDOQL、JPQL或者SQL(取决于数据)来查询支持的数据存储。
All these datastores are linked to a particular Rational project and thus cannot be referenced across projects.
所有这些数据存储库都与一个特殊的Rational项目相连接，因而不能跨项目引用。
Once complete, we will set up our Rational project by creating our test datastores and baselining our test assets.
完成后，我们通过创建测试数据存储库和测试资产生成基线来创建Rational项目。
This section describes the steps required to create datastores for your source and target databases and assign them to users.
本节描述为源和目标数据库创建数据存储并把它们分配给用户所需的步骤。
There is a wide array of embryonic projects attempting to deal with datastores and persistence, but no obvious best solution.
很多刚起步的项目都在尝试处理数据存储和持久化，但还没有最佳解决方案。
In the New subscription dialog, enter a name and description for the subscription and select the source and target datastores.
在NewSubscription对话框中，输入订阅的名称和描述并选择源和目标数据存储。
It's a logical collection of databases and datastores that associates the data you use while working with the Rational product suite.
它是数据库和数据存储库的逻辑集合，而这些数据库和数据存储库是与您在使用Rational产品集时所用的数据相关的。
In the figure, datastores have already been added for the source and target databases, and a user has been added to the source datastore.
在图中，已经为源和目标数据库添加了数据存储，并在源数据存储中添加了一个用户。
While NoSQL datastores are particularly suited to storing big data (think Google's Bigtable), NoSQL is a patently non-relational approach.
因为NoSQL数据商店尤其适合存储大型数据(如Google的Bigtable)，显然NoSQL是一种非关系数据库方法。
A Rational project can contain multiple datastores such as a requirements project, change management (defect) database, test datastore, or a Rose model.
Rational项目可以包含多个数据存储库，例如需求项目、变更管理(缺陷)数据库、测试数据存储库或Rose模型。
Notice that the structure under the data architecture area mimics the structure of the application area, as you would expect for application-dependent datastores.
请注意，正如您可能猜到的依赖于应用程序的数据存储的情况，数据体系结构区域下的结构与应用程序区域的结构非常类似。
Spring Data is a SpringSource project that aims to provide idiomatic Spring support for the varieties of emerging, specialized datastores, including NoSQL database.
SpringData是SpringSource的项目，其目标是为新兴的数据库、特定的数据存储提供Spring的方言支持，包括NoSQL数据库。
In WebSphere Process Server Version 6.0, this is, of course, still supported, but the focus is more on indirectly accessing such datastores via an intermediary SOA layer.
当然，在WebSphereProcessServerVersion 6.0中仍然支持此功能，但更注重通过中间soa层间接访问此类数据存储。
In addition to being a centralized location for the project data, this view will be used by the Rational Administrator when setting up the Rational project and test datastores.
此外它还是一个项目数据集中的位置，在创建Rational项目和测试数据存储库时这个视图将被Rational管理员使用。
Looking forward, beyond the 2.1.x line, Hades will become part of the Spring data project where it's core will serve as a base for repository implementations for other datastores as well.
展望未来，2.1 . x版本之后，Hades可能会成为SpringData项目的一部分，其核心将作为实现其它数据存储资源库的实现基础。
DataNucleus extends the scope of JPOX to the application data management domain intent on supporting a wide range of datastores, APIs, services, as well as eventually providing data analysis tools.
DataNucleus将JPOX的范围扩充到应用数据管理领域，以支持更广泛的数据、APIs、服务，以及最终提供数据分析工具。
DataNucleus extends the scope of JPOX to the application data management domain intent on supporting a wide range of datastores, APIs, services, as well as eventually providing data analysis tools.
DataNucleus将JPOX的范围扩充到应用数据管理领域，以支持更广泛的数据、APIs、服务，以及最终提供数据分析工具。
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