Managers analyse their company's data and compare it with data on their competitors.
经理们分析他们公司的数据并与其竞争者的数据进行比较。
That's fantastic! The work is just helping out with data input.
那太棒了！这项工作只是帮助输入资料而已。
The work is just helping out with data input.
这份工作就是帮忙输入数据而已。
State: patterns concerned with data.
状态：关于数据的模式。
The American way with data is not for Germany.
美国处理信息的方式在德国行不通。
Gateway form versus activity form with data flow.
数据流的网关形式和活动形式。
Now let's look at some ways of dealing with data.
现在，让我们了解一下一些处理数据的方法。
The top concern with data federation is performance.
对于数据联合而言，最需要关注的就是其性能。
And I spoke with data aggregators and privacy experts.
并且和数据汇集专家和隐私专家进行交流。
Choose the table that is to be loaded with data rows.
选择要加载数据行的表。
Alerts are sent with data in the IMEasy.properties file.
警报与IMEasy . properties文件中的数据一起发送。
Create the required database table and fill it with data.
创建所需的数据库表并为其填充数据。
These patterns determine how applications deal with data.
这些模式确定了应用程序处理数据的方式。
In other words, a flow is a pipe with data flowing through it.
换句话说，流就是有数据通过的管道。
The whole database with data and program code will be replicated.
将复制具有数据和程序代码的整个数据库。
Another issue is the potential for problems with data in the cloud.
另一个是云中数据潜在的问题。
Populating a business glossary with data is the first step to using it.
想使用业务术语库，首先要对其进行数据填充。
Security scenario with data exchange between manufacturer and retailer.
在生产商和零售商之间交换数据的安全场景。
This event happens only once: before the data set is filled with data.
该事件只会发生一次：在数据集合被数据填充之前。
Screen capture of pivot table with data as originally formatted in the file
pivot表的屏幕截图，带有文件中初始格式化的数据
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。
Performance and scalability: Here we're concerned with data transfer volume.
性能和可伸缩性：这里，我们关心的是数据传输量。
Once you have populated a spreadsheet with data, you can easily create a graph.
当你在表格中填充了数据，你就可以轻松画图。
If you're familiar with data cryptography and SSL, you can skip this section.
如果您熟悉数据加密和SSL的知识，就可以跳过本节。
A modern enterprise is a complex infrastructure with data playing a crucial role.
现代企业是一个复杂的基础设施，数据在其中扮演着重要的角色。
The next scenario in dealing with data is when you don't control either endpoint.
处理数据遇到的下一种情况是两个端点都不能控制。
And, as with data binding, your application has less plumbing details to worry about.
而且使用数据绑定，应用程序需要关心的细节也少了。
When a table has been loaded with data, and the appropriate indexes have been created.
当向表装入数据并创建了合适的索引时。
However, the formal data warehouse design should begin with data warehouse architecture.
然而，正式的数据仓库设计应该从数据仓库的架构开始。
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