Analysis-Services/MetadataTranslator/Metadata Translator/Documentation/README.md

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Metadata Translator

Metadata Translator helps to streamline the localization of Power BI data models. The tool can automatically translate the captions, descriptions, and display folder names of tables, columns, measures, and hierarchies by using the machine translation technology of Azure Cognitive Services. It also lets you export and import translations via Comma Separated Values (.csv) files for convenient bulk editing in Excel or a localization tool.

MetadataTranslator

Installation

Metadata Translator can be installed by using a Windows Installer Package (.msi) file. The Metadata Translator solution includes a Metadata Translator Setup project to build this .msi file.

Installing Metadata Translator

Start the installation by launching the .msi file, accept the default settings or change the installation folder if desired, and then confirm the remaining prompts to complete the installation. To remove Metadata Translator, launch the .msi file again and choose Remove Metadata Translator, or use Add/Remove Programs.

Starting Metadata Translator

Metadata Translator integrates with Power BI Desktop as an external tool. To start it, open a Power BI Desktop (.pbix) file, switch to the External Tools ribbon, and click on Metadata Translator. Metadata Translator automatically connects to the dataset insides the .pbix file and lets you apply changes to this dataset.

Launching Metadata Translator

Configuration settings

Metadata Translator uses the cloud-based machine translation services of Azure Cognitive Services and requires a subscription key and an endpoint URL to call the Translator REST API. See Create a Translator resource in the product documentation. To get started, you'll need an active Azure account. If you don't have one, you can create a free 12-month subscription. For the purposes of Metadata Translator, it is also sufficient to create a free Translator instance in most cases. See Cognitive Services pricing—Translator for more details.

To register a Translator instance in Metadata Translator, click on the Settings button in the toolbar and provide the required information, which is generated when you provision the Translator resource in the Azure portal. Enable the Overwrite Translation checkbox if you want to replace all existing translations every time you click on Translate.

Settings

Note

Configuring Metadata Translator to use Azure Cognitive Services is optional. The configuration is recommended but not required if you prefer to translate the strings manually.

Choosing languages

Metadata Translator enables you to choose from over 300 cultures in all languages that Power BI supports. Click on Languages to pick the cultures you want to add to your dataset. Although there is theoretically no limit regarding the number of cultures you can add, it is important to keep in mind that every translation increases the size of the dataset.

Adding languages

For every language selected in the Language pane, Metadata Translator adds a column to the translation grid. Deselecting a language removes the corresponding translation grid column.

Note

You cannot remove the default language of the dataset, which is the language marked with an asterisk in the translation grid.

Performing a machine translation

Having added a new language, click on the Translate button in the toolbar to fill the corresponding column in the translation grid with the translated strings. If you havent registered a translation service endpoint yet, Metadata Translator automatically opens the Settings pane for you to provide the required configuration settings. See Configuration settings earlier in this readme.

Translate

Reviewing translated strings

The translation grid organizes the translation based on the translated property. Choose Caption, Description, or Display Folder in the toolbar. If the current dataset does not include any descriptions or display folders, the corresponding radio buttons are greyed out.

Editing translated strings

The translation grid also lets you add translated strings and edit any existing strings manually. Just double-click the desired grid cell and make the changes.

Note

You cannot edit the strings of the default language. The default language, marked with an asterisk, is read-only in the translation grid.

Exporting to .CSV files

A dataset typically includes hundreds of strings. For convenient bulk editing in Excel or a localization tool, click on Import/Export to open the Import/Export pane, and then click Export. Be aware that Metadata Translators overwrites any existing files in the export folder without warning. It is recommended to create a new folder for each export to avoid accidental overwrites.Export

Note

Metadata Translators exports each culture into a separate .csv file based on the locale identifier (LCID).

Importing from .CSV files

To import translated strings from a .csv file, make sure the file name(s) correspond(s) to the locale identifier (LCID) of the target language(s). Click on Import/Export to open the Import/Export pane, and then click Import. Choose the files in the Open dialog box and click Open.

Import

If you import a .csv file for a culture that you havent added to the dataset yet, Metadata Translator automatically adds the culture for you and displays the corresponding column in the translation grid with the imported strings.

Note

During the import operation, Metadata Translators first expects a full match of the default strings including their ordering. If the ordering is different, Metadata Translators switches to case-sensitive string matching. Any strings that dont have an exact match are ignored and the corresponding cells remain empty in the translation grid.

Applying translations to a dataset

Metadata Translator detects the default language and all translations in the dataset and reads corresponding the captions, descriptions, and display folder names on startup. As you work with the translation grid, add or remove cultures, perform machine translations, or import translated strings, the changes only affect the data in Metadata Translator. To apply the changes to the dataset, click on the Apply button in the toolbar, and then save the .pbix file in Power BI Desktop to persist the changes.

Applying translations

Connecting to an online dataset

Metadata Translator can also connect to data models hosted in SQL Server Analysis Services, Azure Analysis Services, and the Power BI service so you can add translations to an online dataset. Simply start Metadata Translator directly from the installation folder, type the full dataset connection string in the input form, and then click OK to connect.

Connection string to a PowerBI dataset

Note

You must provide the full connection string. This is especially important to keep in mind when connecting to a dataset in the Power BI service. The connection string that Power BI displays on the dataset settings page does not include the Data Source property name. It is an incomplete connection string, such as powerbi://api.powerbi.com/v1.0/myorg/AdventureWorksSource;initial catalog=AdventureWorks. Make sure to add "Data Source=" in front of it. The screenshot above shows the full connection string: data source=powerbi://api.powerbi.com/v1.0/myorg/AdventureWorksSource;initial catalog=AdventureWorks.

Command-line operations

Metadata Translator supports command-line operations through a thin console application called MTCmd.exe so that you can import and export translations in an automated way. You can find MTCmd.exe in the Metadata Translator installation folder. Run MTCmd /? to display available command-line options and operations, as in the following screenshot.

Metadata Translator command-line app

Connecting to a dataset

In order to connect to a dataset hosted in SQL Server Analysis Services, Azure Analysis Services, or the Power BI service, you must specify the full connection string by using the --connection-string parameter (or -cs). See also the previous "Connecting to an online dataset" section. The --connection-string parameter is mandatory for all export and import operations.

Exporting translations

To export existing translations from a dataset, you must specify full path to an export folder by using the --export-folder (-ef) parameter. For example, the following command exports all translations from an AdventureWorks dataset hosted in Power BI into a folder called ExportedTranslations:

MTCmd -cs "powerbi://api.powerbi.com/v1.0/myorg/AdventureWorksSource;initial catalog=AdventureWorks" -ef C:\ExportedTranslations

Note

The specified export folder must exist prior to running the command-line app. MTCmd.exe does not create the export folder. However, if any files exist in the export folder, MTCmd.exe might overwrite them without warning. MTCmd.exe exports each culture into a separate .csv file based on the locale identifier (LCID).

Importing translations

To import translations from a .csv file, you must specify full path to the import file by using the --import-file (-if) parameter. The file name must correspond to the locale identifier (LCID) of the target language. You must also specify the --mode (-m) parameter. Valid options are Import or Overwrite. Import applies translations for strings that have not been translated yet in the dataset. Overwrite, as the name implies, overwrites any existing translations in the dataset. Both, Import and Overwrite create new translations if you import a locale that does not yet exist in the dataset.

The following command imports German translations from a .csv file called de-DE.csv into an AdventureWorks dataset hosted in Power BI, overwriting any existing German strings in the dataset:

MTCmd -cs "powerbi://api.powerbi.com/v1.0/myorg/AdventureWorksSource;initial catalog=AdventureWorks" -if C:\Translations\de-DE.csv -m Overwrite

Note

MTCmd.exe only imports one translation file at a time. To import multiple languages, run MTCmd.exe in a loop.

Additional features

Metadata Translator v1.2 does not support editing the default language strings because the external tools integration feature of Power BI Desktop does not support these operations yet.

For additional feature requests, create a new item under Issues.