TDS数据模式现在可以包含十六进制值。
呈现mashupUI和数据模式的检索
尽管这是地理数据，但是数据模式很简单。
数字图像的强度和像素结构具有一些自然的数据模式。
Digital images have natural statistical patterns in the intensity and texture of their pixels.
图4展示了示例文档及其在XML数据模式中的分层格式。
Figure 4 shows a sample document and its hierarchical format in the XML data model.
实现方法是创建一个压缩的符号字典，取代行级重复数据模式。
It does this by creating a compression dictionary of symbols which replace repeating data patterns at the row level.
当数据模式中发生任何修改时，需要修改或重新生成对象层次结构。
Necessity to modify or regenerate the object hierarchy when there are any changes in the data schema.
为了取得垂直对齐，这应该与用于生成数据模式的物理数据模型一致。
For vertical alignment, this should be consistent with the physical data model that is used to generate the database schema.
变化监测对于识别数据模式中您用于未来分析和预言的数据变化是有益的。
Change detection can be useful for identifying changes in data patterns that you can use for future analysis and prediction.
这个存储库将会是对公共实体和对相关的消息及数据模式建模的自然来源。
The repository will be a natural source for modeling the common entities and also for modeling the related message and data schemas.
这使得跨业务线和在不同级别抽象上的数据模式之间的关系可被分析和跟踪。
This allows analysis and traceability of the relationship between data patterns, both across lines of business and at varying levels of abstraction.
SOA依赖于一组用于描述在 SOA生态系统中传递的消息的数据模式。
The SOA depends on a set of data schemas that are used to describe the messages that flow around the SOA ecosystem.
它为解决方案构建者和用户提供了一个平台，用于编写有关数据模式的检测规则。
It provides a platform for solution builders and users to write detection rules on patterns of data.
数据模式必须针对重用而设计，而消息模式则要针对它们的操作来设计。
Data schemas must be designed for reuse, while the message schemas by design will be specific to their operations.
实际上，在开始时使用简单线性回归这样的基本工具是着手探究数据模式的好方法。
Indeed, using basic tools like simple linear regression initially is a good way to begin probing data for patterns.
可以在TDS标记(markup)、标记(tag)和数据模式中包含十六进制值。
Hexadecimal values can be contained in TDS markup, tags and in data patterns.
这一现象被认为是“近因效应”(或近期偏差)，即一种受近期数据模式过度影响的趋势。
This phenomenon is known as "recency bias", the tendency to be excessively affected by the pattern of recent data.
这允许用户在全数据模式下运行一个报表，在有限数据或无数据模式下进行预览。
This allows a user to run a report with all data, preview with limited data, or preview with no data.
合并元数据条件的另一个方法是使用查询表单，其字段对应于元数据模式的元素。
Another way to incorporate metadata conditions is to use a query form, whose fields correspond to the elements of the metadata schema.
审阅者需要迅速地阅读和理解相关的信息——用数据模式表示该信息完全降低了处理的速度。
Reviewers need to quickly read and comprehend relevant information - presenting it in the form of a data schema simply slows down the process.
消息和数据的模式都是基于数据模型的——消息模式是一个或多个数据模式的投影。
Both messages and data schemas must be based on the data model - the message schemas being projections of one or more data schemas.
对数据模式和特定版本的SQL的这种依赖性可能会抑止重用业务逻辑和数据的灵活性。
This dependency on data schemas and specific versions of SQL may inhibit the flexibility to reuse the business logic and the data.
依赖于应用程序的数据模式是为了支持特定应用程序而创建的，如用于为订单输入系统存储订单。
Application-dependent data schemas are created to support a specific application, such as to store orders for an order-entry system.
来自各种异构应用数据库的数据被复制和集成到拥有正规数据模式的单个企业数据库中。
Data from heterogeneous application databases is replicated and integrated in an enterprise database with a canonical data schema.
提供各种转换功能，以处理不同数据源之间的冲突，并将源数据重建为所需的目标数据模式。
Provide extensive transformation capabilities in order to resolve conflicts between sources and in order to restructure source data into a desired target data mode.
由于查询语言的复杂性，并且要构成查询还需要了解数据模式，所以需要进行培训才能使用这些应用程序。
Because of the complexity of the query language and the need to understand the data schema in order to compose the queries, training is required to use these applications.
元数据模式的结构是明确的，就像在表单中那样，但用户无法看见他不感兴趣的任何分面的细节。
The structure of the metadata schema is explicit, as in a form, but the user doesn't see the detail of any of the facets that he is not interested in.
GPRS设备类似于拥有扩展AT命令集的调制解调器，在进入数据模式之前必须使用AT命令定义一个上下文。
A GPRS device, which resembles a modem with an extended at command set, must define a context using an at command before it enters data mode.
既然您已经完成了数据模式和业务逻辑定义，那么就需要将项目发布到BusinessEvents运行时。
Now that you've completed the data model and business logic definitions, you need to publish the project to the business Events runtime.
这些工具不能检查测试是否包括所有适当的数据模式，但它们至少可以让您确信在测试期间所有代码都得到了执行。
They can't check that your tests include all the appropriate data patterns, but they can let you at least make sure that all your code is being executed during the tests.
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