从第三方环境触发数据规则的执行。
Trigger the execution of data rules from a third-party environment.
自动检索和处理数据规则结果。
Automatically retrieve and process the execution results of data rules.
数据规则的实施是维护这些实体的服务的职责。
Enforcement of data rules is the responsibility of the service that maintains these entities.
数据规则可用的所有测试及函数的执行类型概述。
Overview of the execution types of all tests and functions available for data rules.
如果多次运行同一个数据规则，每此运行都创建新表。
If you run the same data rule several times, new tables are created with each run.
这一级别的分析只能通过评估业务或数据规则条件来完成。
This level of analysis can only be achieved through the evaluation of business or data rule conditions.
以下表包含了可用于数据规则逻辑中的所有函数及测试的概述。
The following tables contain an overview of all functions and tests that you can use in the logic of a data rule.
从更高级别来看，复杂项目的数据规则开发步骤类似于软件开发的步骤。
At a high level, the steps involved with development of data rules for a complex project are similar to those for software development.
这个服务可以使用一个数据库服务或使用应用程序组件来实施这些逻辑数据规则。
The service may use a database service or use application components to enforce these logical data rules.
从命令行执行数据规则，首先要准备一个XML文档指定要执行的项目名和规则名。
To execute data rules from the command line, first prepare an XML document specifying the name of the project and the name of the rules to execute.
如果迁移时逐步完成的，相同类型的数据规则可能需要一次又一次地作为新资源迁移。
If the migration is done progressively over time, the same kind of data rules may be needed again and again as each new source system is migrated.
使用上述命令和方法来在您的文件系统中提取整个项目或者单个数据规则的内容作为XML文档。
Use the commands and methods described above to extract the content of the whole project or the single data rules as XML documents in your file system.
本文的目的就是帮助您了解数据规则的执行流程，以及特定数据规则的使用对性能及资源的影响。
The objective of this article is to give you an understanding of the execution process of data rules, and how using certain types of data rules affect performance and resources.
当您在您的开发系统中成功开发和测试了一系列数据规则之后，就也可以将它们移到生产环境中了。
After you have successfully developed and tested a collection of data rules on your development system, you are ready to move them to your production environment.
有了API的帮助，您可以完全自动化进行数据规则的执行和评估，在任何非ibm环境中集成该操作。
With the help of the API, you can fully automate the execution and evaluation of the results of your data rules, and integrate this process in any non-IBM environment.
主要暗示了产生这个文档的需求并不止一次，它在一个没有巨大数量数据规则的大项目中使用了人工的方法。
Basically this implies the need for producing the document more than once, which in the context of large projects with large amount of data rules out using a manual approach.
可在可用于数据规则的所有测试及函数执行类型的概述部分，找到哪些测试及函数是标量的以及哪些是柱状的。
You will find an overview of which tests and functions are scalar and columnar in the overview of the execution types of all tests and functions available for data rules.
每次运行数据规则时，都会测试规则定义，而且会在分析数据库中创建几个包含规则输出与规则统计信息的表。
Each time you run a data rule, a rule definition is tested, and several tables that contain the rule outputs and rule statistics are created in the analysis database.
HTTP/CLIAPI提供一个很便利的方法，从非 IBM环境启动或调度一个或多个数据规则执行。
The HTTP/CLI API provides a convenient way to start or schedule the execution of one or more data rules from a non-IBM environment.
要为每个文档创建geography特性的值，可以利用OmnifindDiscoveryEdition的功能定义元数据规则。
To create the value of the Geography feature for each document, we use the ability of Omnifind Discovery Edition to define a metadata rule.
学生必须具备以下条件：良好的计算机使用技能，晚上和周末有空，了解篮球规则和统计数据。
Students must meet all of the following requirements: good computer skills, available evenings and weekends, knowing basketball rules and statistics.
您需要能够捕获业务指标和数据、业务规则、其数量和依赖关系。
You need the ability to capture business metrics and data, business rules, volumes, and dependencies.
域是类或类型并表示数据的规则、语法及语义(例如，它必需是整型、浮点型、图片类型等等)。
A domain is a class or type and indicates the rules, syntax, and semantics for a piece of data (for example, it must be an integer, float, conform to a picture, and so on).
协议包含三个部分：信封、数据类型规则，以及定义操作请求和响应的方法。
The protocol consists of three parts: the envelope, data type rules, and a means of defining operation requests and responses.
而每个领域都有自己的一套约束数据的规则和规范。
And each domain has its own set of rules and regulations that put constraints on data.
它们还可提供各种信息处理功能，如通过分析和评分算法、数据清理规则等进行处理。
They also surface information processing capabilities such as the results of analytical and scoring algorithms, data cleansing rules, etc.
内容资源，它定义要显示的数据(通过操作规则)。
A content resource that defines data to be displayed (via an action rule).
内容资源，它定义要显示的数据(通过操作规则)。
A content resource that defines data to be displayed (via an action rule).
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