注：规格数据如有变更，恕不另行通知。
其结果不应用作规格数据。
此处数据是按照标准流程取得的平均测试结果，可能会有变化。其结果不应用作规格数据。
Data are average results of tests conducted under standard procedures and are subject to variation. Results should not be used for specification purposes.
正如产品规格数据的描述，这份合同是为了买方从卖方那里购买150台早餐耙而订立的。
The contract is for the buyer to purchase 150 breakfast bars, as described in the product specification data, from the seller.
因为功能点需要不断地处理包含用例的规格，所以还可以从中得到一些初步的数据。
Because function point counters frequently have to deal with specifications that contain use cases, some preliminary data is also available from them.
不管是源控制管理的视角出发，还是从开发的视角出发，按照隔离数据模型，服务规格以及服务绑定的方式创建文件夹结构，都是最佳实践方式。
Creating the folder structure in a way that separates the data model, service specification, and service binding is a best practice from both source control management and development perspectives.
所有规格都支持与产品领域相关的数据类型，比如字符串、数字和与日期相关的数据类型。
All specifications support relevant data types for the product domain, such as string, number, and date-related data types.
每件产品的规格和质量安全数据？
What specifications and quality assurance data is available for each of them?
建模就是将业务流程分解成代表不同功能、组件、服务以及相关的数据输入输出、策略和规格的子流程。
Modeling includes the decomposition of a business process into sub-processes to identify functions, components, and services, along with data inputs and outputs, policies, and metrics.
源数据的字段规格是什么(字段名、类型、数据长度)？
What are the field specifications of the source data (field name, type, data length)?
如果结果仍然不符合规格，则把分析数据记录在LIMS系统中并标记为有偏差样品。
If the sample is still out of spec, record the data in LIMS as an offset.
它也能传输大量的数据，但是在规格中支持DRM，所以这是一把双刃剑。
It can carry a whole lot of data, but it's got DRM built into the spec, so it's a double-edged sword.
本例捕捉了启动前的数据库度量——LBS——Update_Loans活动、及最终您想使用的规格DM_Status。
This example captures the database metric before starting — LBS — the Update_Loans activity, and finally the metric DM_Status you want to use.
他介绍了作为Python数据库api规格说明书的PEP 249，它需要创建一个基本的数据库提供器来使用。
He describes PEP 249 as the Python database API Specification which needs to be followed to create the basic database provider used.
现实世界中的数据库（正规化和反向规格化，SQL，索引）
Real world Databases (Normalisation and De-normalisation, SQL, Indexing)
用户数量、视图的大小和数量，以及数据库数量都会影响到您设置缓冲池规格的方式。
The number of users, size and number of views, and number of databases all affect how you should set the buffer pool specification.
竞争数据可以导致更加复杂的集成规格的产生，无论数据是来自两个不同的数据源还是包含最新的数据。
Competing data could result in more complex integration specification that either prioritizes data from one data source from the other or includes the most recent data.
由于工作流使用的输入输出数据格式是XML，所以我们需要xml元素名的规格说明。
As the input and output data format that workflow USES is XML, we require a specification of the XML element names.
对于每一个文件模板及其定义的数据源，文件规格含有需要的所有信息，以从支持的程序中获取实际的数据。
For each document template and its defined data sources, the document specification contains all of the information necessary to retrieve the actual data from a supported application.
数据集内的每个属性都应该是规格化的，因此，每个值均除以该属性在数据集内的最高值与最低值间的差值。
Every attribute in the data set should be normalized, whereby each value is divided by the difference between the high value and the low value in the data set for that attribute.
这就使得下面这条决定是否应该规格化数据的标准很明确：永远不要规格化数据，以免受支持的查询需要执行连结操作来选择记录。
This makes the criteria for deciding if you should normalize data straightforward: Never normalize data such that a supported query will need to perform a join operation to select records.
但是，在多数情况下，需要尽可能少(如果有的话)地规格化原生xml数据库的数据。
However, in most cases, you'll need to normalize little if any of the data for a native XML database.
特别的是，规格必须需要元数据来提供上下文，换句话说就是当收集元数据时，如何来收集以及如何来改变数值。
Metrics in particular need metadata to provide context, in other words, when it was collected, how it was collection, how it changes value.
早期的频繁的客户接触与简单的需求电子数据表代替了传统的功能规格说明书和复杂的用例图。
Early and frequent customer contact combined with a simple requirements spreadsheet replace traditional functional specifications and sophisticated use case diagrams.
目前存储在关系数据库中的数据按照行和字段进行了规格化。
Data stored in relational databases today is normalized around rows and fields.
以目前最为标准的USB 2.0为例，它移动数据的速度更快，而且还有一些额外的电源规格。
It moves data, and in the case of USB 2.0-which is pretty much the standard now-it does it faster, and with some extra specs for power.
设计原生XML数据库模式时，最重要的事情是避免使用设计关系数据库时采用的方法来规格化数据。
The most important thing you can do when you design a native XML database schema is to avoid the temptation to normalize the data in the same way that you do when you design a relational database.
以上是创建数据库业务规格的全过程。
This is all that you have to do to create a database business metric.
以上是创建数据库业务规格的全过程。
This is all that you have to do to create a database business metric.
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