Power BI Desktop 隱私權等級Power BI Desktop privacy levels

Power BI Desktop 中,隱私權等級會指定某個資料來源與其他資料來源隔離程度的隔離等級。In Power BI Desktop, privacy levels specify an isolation level that defines the degree that one data source will be isolated from other data sources. 雖然嚴格的隔離等級能夠阻擋資料來源交換資訊,卻可能會降低功能並影響效能。Although a restrictive isolation level blocks information from being exchanged between data sources, it may reduce functionality and impact performance.

位於 [檔案] > [選項及設定] > [選項] 之 [目前的檔案] > [隱私權] 下的 [隱私權等級] 設定可決定 Power BI Desktop 合併資料時是否使用 [隱私權等級] 設定。The Privacy Levels setting, found in File > Options and settings > Options and then Current File > Privacy determines whether Power BI Desktop uses your Privacy Level settings while combining data. 這個對話方塊包含 Power BI Desktop 文件中有關 [隱私權等級] 和 [隱私權等級] 的連結 (即本文)。This dialog includes a link to Power BI Desktop documentation about Privacy Levels and Privacy Levels (this article).

每個資料來源的 [隱私權] 設定對話方塊皆位於 [檔案] > [選項及設定] > [資料來源設定] 下。The Privacy settings dialog for each data source is found File > Options and settings > Data source settings. 請選取資料來源,然後選取 [編輯] 。Select the data source, then select Edit. [資料來源設定] 對話方塊隨即出現,您可在對話方塊底部的下拉式功能表中選取適當的隱私權等級,如下圖所示。The Data Source Settings dialog appears, from which you can select the appropriate privacy level from the drop-down menu at the bottom of the dialog, as shown in the following image.

警告

包含高度敏感或機密資料的資料來源應設定為 [私人]。You should configure a data source containing highly sensitive or confidential data as Private.

設定隱私權等級Configure a privacy level

利用隱私權等級設定,您可指定某個資料來源與其他資料來源隔離程度的隔離等級。With privacy level settings, you can specify an isolation level that defines the degree that one data source must be isolated from other data sources.

設定Setting 描述Description 資料來源範例Example Data Sources
私人資料來源Private data source [私人] 資料來源包含敏感或機密資訊,而且可以限制只有授權的使用者才能看到資料來源。A Private data source contains sensitive or confidential information, and the visibility of the data source may be restricted to authorized users. 私人資料來源與其他資料來源完全隔離。A private data source is completely isolated from other data sources. Facebook 資料、包含股票獎酬的文字檔案或包含員工績效考核資訊的活頁簿。Facebook data, a text file containing stock awards, or a workbook containing employee review information.
組織資料來源Organizational data source [組織] 資料來源限制只有受信任的一群人才能看到資料來源。An Organizational data source limits the visibility of a data source to a trusted group of people. [組織] 資料來源與所有 [公用] 資料來源相隔離,但與其他 [組織] 資料來源可彼此互見。An Organizational data source is isolated from all Public data sources, but is visible to other Organizational data sources. 內部網路 SharePoint 網站上啟用了信任群組權限的 Microsoft Word 文件。A Microsoft Word document on an intranet SharePoint site with permissions enabled for a trusted group.
公用資料來源Public data source [公用] 資料來源允許所有人看到資料來源中所包含的資料。A Public data source gives everyone visibility to the data contained in the data source. 只有檔案、網際網路資料來源或活頁簿資料可以標示為 [公用] 。Only files, internet data sources or workbook data can be marked Public. Microsoft Azure Marketplace 的可用資料、維基百科頁面的可用資料,或包含公開網頁複製資料的本機檔案。Free data from the Microsoft Azure Marketplace, data from a Wikipedia page, or a local file containing data copied from a public web page

設定隱私權等級設定Configure privacy level settings

每個資料來源的 [隱私權] 設定對話方塊皆位於 [檔案] > [選項及設定] > [資料來源設定] 下。The Privacy settings dialog for each data source is found File > Options and settings > Data source settings.

若要設定資料來源的隱私權等級,請選取資料來源,然後選取 [編輯] 。To configure a data source privacy level, select the data source, then select Edit. [資料來源設定] 對話方塊隨即出現,您可在對話方塊底部的下拉式功能表中選取適當的隱私權等級,如下圖所示。The Data Source Settings dialog appears, from which you can select the appropriate privacy level from the drop-down menu at the bottom of the dialog, as shown in the following image.

警告

包含高度敏感或機密資料的資料來源應設定為 [私人]。You should configure a data source containing highly sensitive or confidential data as Private.

設定隱私權等級Configure Privacy Levels

[隱私權等級] 是預設為 [根據您每個來源的隱私權等級設定合併資料] 的設定,表示並未啟用 [隱私權等級]。Privacy Levels is a setting that is set to Combine data according to your Privacy Level settings for each source by default, which means that Privacy Levels is not enabled.

設定Setting 描述Description
[根據您每個來源的隱私權等級設定合併資料] (開啟,預設設定)Combine data according to your Privacy Level settings for each source (on, and the default setting) 合併資料時使用隱私權等級設定決定資料來源的隔離等級。Privacy level settings are used to determine the level of isolation between data sources when combining data.
[忽略隱私權等級可能會改善效能] (關閉)Ignore the Privacy levels and potentially improve performance (off) 合併資料時不考慮隱私權等級,但可能會提高資料的效能和功能。Privacy levels are not considered when combining data, however; performance and functionality of the data may increase.

安全性注意事項:在 [隱私權等級] 對話方塊中選取 [忽略隱私權等級可能會改善效能] 以啟用 [隱私權等級],可能會將敏感或機密資料暴露給未經授權的人員。Security Note: Enabling Privacy Levels by selecting Ignore the Privacy levels and potentially improve performance in the Privacy Levels dialog could expose sensitive or confidential data to an unauthorized person. 除非確定資料來源不包含敏感或機密資料,否則請勿啟用 [隱私權等級]。Do not enable Privacy Levels unless you are confident that the data source does not contain sensitive or confidential data.

設定隱私權等級Configure Privacy Levels

在 Power BI Desktop 或 查詢編輯器 中,選取 檔案 > 選項及設定 > 選項,然後選取 目前的檔案 > 隱私權.In Power BI Desktop or in Query Editor, select File > Options and settings > Options and then Current File > Privacy.

a.a. 選取 [根據您每個來源的隱私權等級設定合併資料] 後,就會根據您的 [隱私權等級] 設定合併資料。When Combine data according to your Privacy Level settings for each source is selected, data will be combined according to your Privacy Levels setting. 跨隱私權隔離區域合併資料會導致某些資料緩衝。Merging data across Privacy isolation zones will result in some data buffering.

b.b. 選取 [忽略隱私權等級可能會改善效能] 後,就會忽略 [隱私權等級] 合併資料,這樣可能會將敏感或機密資料洩露給未經授權的使用者。When Ignore the Privacy levels and potentially improve performance is selected, the data will be combined ignoring your Privacy Levels which could reveal sensitive or confidential data to an unauthorized user. 此設定可能會改善效能和功能。The setting may improve performance and functionality.

安全性注意事項: 選取 [忽略隱私權等級可能會改善效能] 可能會改善效能,但是 Power BI Desktop 無法確保資料合併到 Power BI Desktop 檔案後的隱私權。Security Note: Selecting Ignore the Privacy levels and potentially improve performance may improve performance; however, Power BI Desktop cannot ensure the privacy of data merged into the Power BI Desktop file.