• 数据编组对象必须实例,该类绑定中的全局映射定义的。

    The object to be marshalled must be an instance of a class that's defined with a global mapping in the binding.

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  • 生成使用数据架构提供程序数据库的数据数据生成器使用方法

    The method that you want to the data generator to use when you generate data for a database that uses that database schema provider.

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  • 假设数据视图包含订购数量等于当前产品以便决定是否订购额外数量。

    Now suppose that you want your Data View to include only current products where the units on order equals zero, so that you can decide whether to order additional units.

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  • 之前销售那里数据报表但是销售人员质问我说,这不是职责拒绝我这些数据

    Previously you assigned me to ask for data from sales team for a statement. However sales queried me on my responsibility and refused to provide data.

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  • 文章首先数据挖掘进行了概述,阐明什么数据挖掘,为什么要数据挖掘,如何进行数据挖掘以及数据挖掘过程

    Firstly, this paper comments data mining, explains what is data mining, why and how to do it, the main process of data mining and so on.

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  • 数据驱动脚本被测试应用程序中选择一个对象然后RationalFunctionalTester 将应用程序里的数据填充到一个数据

    To data-drive a script, you select an object in the application-under-test, and Rational Functional Tester then populates a datapool with data from the application.

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  • 研究表明迄今为止,计算机模拟可变性代理记录中获得数据小得多。

    Studies suggest that to date the variability in computer simulations is considerably smaller than in data obtained from the proxy records.

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  • 来自不同来源数据包括存留海底沉积物中的地球化学依据表明白垩纪气候如今温和

    Data from diverse sources, including geochemical evidence preserved in seafloor sediments, indicate that the Late Cretaceous climate was milder than today's.

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  • 处理这样数据这个系统100兆赫兹带宽

    To cope with this amount of data, the system will need a bandwidth of around 100mhz.

    《柯林斯英汉双解大词典》

  • 感谢IBM多伦多实验室数据顾问PaulYip因为他提供了很有价值的帮助设计建议

    I would like to thank Paul Yip, database consultant with the IBM Toronto Lab, for the much-valued help and design suggestions

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  • 定期参加志愿服务帮助他人成年人的调查数据显示类人群的平均寿命做志愿服务的成年人长。

    A statistic on adults who regularly engage in volunteer work helping others shows that they live longer, on average, than adults who do not volunteer.

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  • 这个部分展示详细信息,这部分可能包括事实数据个人经历

    This main part will be the detailed information you'll be presenting and could include facts, statistics, personal experiences, etc.

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  • 现在国家统计局已经证实我们摄入卡路里国家统计数据宣称50%。

    Now the Office for National Statistics has confirmed that we are consuming 50% more calories than our national statistics claim.

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  • 大量数据进行传输将有相当良好效果

    This yields reasonably good results when a lot of data is being transmitted.

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  • 对象没有固有的约束因此实现数据验证必须进行显式编码

    Objects have no inherent constraints, so explicit coding is required to implement the data validation.

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  • 限制数据范围可以通过多种方法启动操作视图比如通过特定服务器节点特定消息启动

    To limit the data scope, you can launch to the operation flows view from different ways, such as launching by specific server node or specific messages.

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  • 不再元素属性数据放到表中

    Instead of elements and attributes, the data belongs in columns, rows, and tables.

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  • 创建数据存储区,只需创建一个模型定义字段以及那些字段的选项JSON文件

    To create the datastore you only have to create a model for it: a JSON file that defines the fields and options for those fields.

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  • 处理数据驻留服务器

    The data to be processed resides on the server.

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  • 内容资源它定义显示数据(通过操作规则)。

    A content resource that defines data to be displayed (via an action rule).

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  • 然后考虑这些性质存储数据什么影响

    You can then consider how these characteristics interact with the data you'll be storing.

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  • 改进数据传输接收可以配置一些网络适配器设置

    To improve transfer and receive large amounts of data, you can configure a couple of network adapter Settings.

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  • 指定DDL数据提取工作目录

    Specify the working directory where DDL and data are to be extracted to.

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  • 此外跟踪数据AmazonSQS中如何被访问

    Additionally, keep track of how the data is accessed from Amazon SQS.

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  • 定义数据可以选择XPages控件绑定表单中的字段

    To define data, you can choose to bind XPages controls to fields on forms.

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  • XPath用于表达捕获数据

    XPath is used to express the data to be captured.

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  • 那么分析挑战就是保证数据能够高效地传输报告引擎

    The primary challenge with cloud analytics, then, is the efficient transfer of the data into the reporting engine.

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  • 看起来存储数据获取结果简单,但是如何知道存储什么数据,应该存储在什么地方呢?

    So, storing data and getting results is easy, but how do you know what data to store, and where to store it?

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  • 很多人技术原本发现数据意义现在经常产生更多数据

    Many say that the technology meant to make sense of it often just produces more data.

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  • 例如如果检索数据,则使用GET请求创建数据,则使用POST请求;更新数据,则使用PUT请求;最后删除数据,则使用DELETE请求。

    For example, if you want to retrieve data, use a GET request; to create data, a POST request; to update data, a PUT request; and finally, to delete data, a delete request.

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