有些人认为词汇表和分类法也属于元数据的范畴。

Some people consider glossary and taxonomy as metadata as well.

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可以说，任何好的注释或元数据工具的最大优点是能够使用额外的数据来分析代码。

Arguably, the nicest feature of any good annotation or metadata tool is the ability to use the extra data to analyze code.

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仅仅归档业务元数据是不够的。

It is not enough simply to document business metadata.

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您只需使用元数据对此进行更改。

You made this change simply by using metadata.

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元数据是否与数据内容一致？

Is the metadata consistent with data content?

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是否存在不同类型的元数据？

Are there different types of metadata?

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该层包括存储的元数据内容。

The layer includes stored metadata content.

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模板没有相关的定制元数据。

No custom metadata is associated with the template.

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它还包含日志和插件元数据。

It also contains the logs and the plugin metadata.

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这就是元数据所承担的任务。

This is where the metadata comes in.

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切换到清除元数据提示符。

Switch to the metadata cleanup prompt.

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首先，每个分区都有自己的元数据子集。

First, each partition has its own subset of metadata.

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数据类型和格式是元数据。

Data type and formatting are metadata.

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我们将那些元数据称为服务语义元数据。

We refer to those metadata as service semantic metadata.

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通过属性表定义元数据。

Define the metadata through property sheets.

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提高数据和元数据质量。

Improves data and metadata quality.

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它们只能从元数据入手。

They only have metadata to work from.

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元数据是否特定于环境？

Is the metadata specific to an environment?

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如果有元数据，你信任元数据中的信息吗？

Do you trust the information in the metadata, if it is in there?

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你给它的元数据了吗？

Do you have metadata for it?

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我们想要这些元数据为我们而工作。

We want this data to be working for us.

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将出现“清除元数据”菜单。

The Metadata Cleanup menu appears.

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集成元数据的第一步是把元数据放进存储库中。

The first step to integrate your metadata is to pull the metadata into the repository.

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但元数据还有更盈利的用途。

But there are more benign USES too.

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元数据内容模型。

A meta data content model.

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元数据是关于数据的数据。

Metadata is data about data.

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元数据即关于数据的数据。

Metadata literally means data about data.

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