• If you can gather these data, you can then determine those techniques that are most effective in your environment.

    如果您可以搜集这些数据,那么您可以确定那些在您的环境中最有效的技术。

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  • For safety, self-driving cars need super-fast data transmission to communicate with their nearby environment.

    为了安全起见,自动驾驶汽车需要超高速的数据传输来与周围环境进行通信。

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  • However, since Baggy stands at about the same height as a child in a pushchair (婴儿车) , she frequently records pollution levels which are much higher than the data gathered by the Environment Agency.

    然而,由于贝基的站立高度约与婴儿车里的婴儿同高,她所记录的污染水平时常远远高于环境机构收集到的数据。

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  • This is because most systems in a modern data center environment are dynamic and always under continuous upgrades, improvements, and tuning.

    这是因为现代数据中心环境中的大多数系统是动态的,总是在不断地升级、改进和调优。

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  • After collecting business requirements and researching the business and data environment, you can perform gap analysis.

    在收集业务需求并研究业务和数据环境之后,您就可以执行差异分析了。

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  • Meeting with customers to collect the customer's business process models, applications, test files, and environment data.

    与客户见面,收集客户的商业过程模型、应用程序、测试文件,和环境数据。

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  • In the Data mining environment, this means to transfer results to the people who benefit the most from the generated business insights.

    在数据挖掘环境中,这意味着将结果传递给最能从生成的业务洞察力中受益的人。

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  • There's a fitting analogy between the digital world of data and the physical environment we live in. Bad data is like trash: pollutants that infest the environment.

    数据的数字世界和我们所处的自然环境之间有一个相似之处,劣质的数据就像是一堆垃圾:遍布于环境中的污染物。

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  • When you install the application, link the JNDI name of the data source in the runtime environment to this data source reference.

    当您安装此应用程序时,将运行时环境中的数据源的JNDI名称链接到此数据源引用。

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  • You'll need to tune these scoring parameters for your data environment.

    您需要调整数据环境的这些评分参数。

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  • Analytics integration with data warehouses: First, an MDM System provides master data to the data warehouse for accuracy improvements in the data warehouse environment.

    与数据仓库的分析集成:首先,MDM系统把主数据提供给数据仓库,提高数据仓库环境的精确性。

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  • Understanding the customer? S data environment is one of the most important tasks in a data warehouse project.

    理解客户的数据环境是数据仓库项目中最重要的任务之一。

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  • In Figure 1, you can see that the data capture environment is intended to run in a distributed model and close to the event data sources.

    在图1中,您可以看到数据捕获环境用于在一个分布式模型中运行,并且靠近时间数据资源。

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  • The hosting environment is on a fast Internet connection in a typical data center environment and is managed by professional IT staff.

    主机托管环境具有快速的互联网连接,通常处于数据中心环境中,并由专业的 IT 人员管理。

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  • Data Volume: There is often a huge amount of data that needs to be processed regularly for a data warehouse environment.

    数据量:对于一个数据仓库环境,常常需要对巨量的数据进行常规性的处理。

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  • Part 2 covers additional details related to MQTs, MDCs, and DPF partitioning keys, focusing on the data warehouse environment.

    第2部分将介绍关于MQT、MDC和DPF分区键的更多细节,重点分析数据仓库环境。

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  • Computing environment: data services could be consumed from a plethora of platforms.

    计算环境:数据服务可在多数平台上被消费。

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  • In a typical data center environment, you must plan for peak loads, so IT resources are frequently underutilized.

    在一个典型的数据中心环境中,您必须根据最大负荷做计划,因此IT资源通常并未充分利用。

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  • All documentation in a data center environment must be automatically generated on a scheduled basis (hourly, daily, weekly, monthly).

    数据中心环境中的所有文档必须定期地(每小时、每天、每周或每个月)自动生成。

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  • In the modern data center environment, the need for a job spooler is greater than ever.

    在现代数据中心环境中,作业假脱机程序的用途更广泛。

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  • Environment data: the first part displays the list of data that is required at the environment level.

    环境数据:第一部分显示了环境层次需要的一系列数据。

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  • There is often a huge amount of data that needs to be processed regularly in a data warehouse environment.

    数据仓库环境通常要定期处理大量数据。

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  • The result of the comparison displays the differences in configuration data between the environment tree and WebSphere data.

    比较的结果会显示环境树与WebSphere数据之间配置数据之间的差异。

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  • Incidentally, judicious use of the rm command can stop the saved data environment from growing unboundedly (remove is a synonym for rm ).

    顺便说一句,rm命令的灵活运用可以停止无限制地保存数据环境(remove等同于rm )。

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  • To support SSO the provider must implement support for the 4th type of logon data, the environment variables as mentioned in Section 2.3.1 - logon data.

    要想支持SSO,提供者必须实现对第四类登录数据的支持,即2.3.1节—登录数据中提到的环境变量。

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  • Stay tuned for Part 2, when we’ll look at how to use the Design Advisor in a data warehouse environment.

    请继续关注第 2部分,到时候我们将研究如何在数据仓库环境中使用Design Advisor。

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  • Optim is the family name for a portfolio of products used to deliver a modular, integrated data management environment for managing data across its lifecycle.

    Optim是用于交付模块化集成数据管理环境的产品组合的统一名称。

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  • Figure 2, below, shows an overview of Rational data Architect's environment in the data perspective mode.

    下面的图2显示了数据透视图模式下RationalDataArchitect环境概览。

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