The server is designed to store huge amounts of data.
该服务器是为存储大量数据设计的。
In any synchronization scenario each participating data store will fall into one of four categories.
在任何同步方案中，每个参与的数据存储将归为四个类别中的一个。
External changes to the target data store are outside the scope of this pattern.
对目标数据存储进行外部更改超出了这种模式的范围。
In this pattern, the user always interacts with data from a local data store.
在该模式下，用户始终与本地数据存储中的数据进行交互。
In this pattern, the user always interacts with data from a remote data store.
在该模式下，用户始终与远程数据存储中的数据进行交互。
Essentially, you need to update the data store if you want to modify the tree.
最重要的是，如果想要修改树，您需要更新数据存储。
The storage access protocol specifies how a client accesses data from the data store.
存储访问协议指定客户机从数据仓库访问数据的方式。
The two-tier approach isolates data store and data access management.
两层的方法将数据存储和数据访问管理相分离。
For a large test data store, this can take a number of hours.
对于大型的测试数据存储，这将耗费大量的时间。
In Figure 3, an operational data store periodically feeds the data warehouse new information.
在图3中，一个操作性数据存储定期向数据仓库提供新信息。
Each functional feature has its own data store.
每个功能特性都有自己的数据存储。
A single query to the data store would return everything you need.
对数据存储的单一查询就可以返回您所需要的任何东西。
Finally, this transformed information is then applied to a target data store.
最后，将经过转换的信息应用于目标数据存储。
In the sample application, the file system is used as the persistent data store.
在样例应用程序中，文件系统用作持久性数据存储。
Copying of the test data store raises a number of issues.
复制测试数据存储将会产生大量的问题。
Operational data store of a web site.
可操作的网站数据存储。
In this pattern, the client always reads and writes against a server-side data store.
在该模式下，客户机始终读写服务器端数据存储。
Each pattern assumes a server data store and a local data store.
每种模式都假定一个服务器数据存储和一个本地数据存储。
Create a new test data store and initialize it from the existing test data store.
创建一个新的测试数据存储，并从已存在的测试数据存储中对其进行初始化。
Listing 3 is an example of getting documents from the backend data store.
清单3是从后端数据存储获取文档的示例。
Instead, you need to update the tree model that is connected to the data store.
反而，您需要更新连接到数据存储的树模型。
For improved performance, you should disable the use of the event data store.
为提高性能，您应该禁用事件数据存储。
It's a truly rich functional relational data store.
它的确是功能丰富的关系型数据库。
For Data store, check Default.
对于数据存储，检查Default。
The speed and size of the persistent data store.
持久性数据存储的速度和大小。
Checking in a SOAP attachment into the Claim Check data store before performing business logic.
在执行业务逻辑之前将一个SOAP附件签入ClaimCheck数据存储中。
Similarly, you can replace the Role Manager data store by extending RoleProvider.
同样，你可以通过扩展RoleProvider类替换角色管理的数据存储。
The last manual change required is configuring the Data store associated with BPC SI Bus.
所需的最后一个修改是配置与BPCSI Bus关联的数据存储区。
Create a new data store helper.
创建新的数据存储帮助程序。
So the proposed solution is to start leverage Hadoop as a cross-application data store.
因此，他推荐的解决方案是使用Hadoop作为跨平台数据存储。
应用推荐