![]() |
VOOZH | about |
The CData Power BI Connector for XML seamlessly integrates with the tools and wizards in Power BI, including the real-time data workflows on PowerBI.com. Follow the steps below to pull data directly into DataFlows on PowerBI.com and use the Power BI Gateway to configure automatic refresh.
Installing the Power BI Connector creates a DSN (data source name) called CData Power BI XML. This the name of the DSN that Power BI uses to request a connection to the data source. Configure the DSN by filling in the required connection properties.
You can use the Microsoft ODBC Data Source Administrator to create a new DSN or configure (and rename) an existing DSN: From the Start menu, enter "ODBC Data Sources." Ensure that you run the version of the ODBC Administrator that corresponds to the bitness of your Power BI Desktop installation (32-bit or 64-bit).
CData Drivers let you work with XML files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.
Set the URI property to local folder path.
To connect to XML file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended XML files exist. In addition, at least set these properties:
To connect to XML file(s) within Box, set the URI property to the URI of the folder that includes the intended XML file(s). Use the OAuth authentication method to connect to Box.
To connect to XML file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended XML file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.
To connect to XML file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended XML file. Set User, Password, and StorageBaseURL.
To connect to XML file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended XML file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.
To connect to XML file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended XML file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.
The property is the controlling property over how your data is represented into tables and toggles the following basic configurations.
See the Modeling XML Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.
With the data source configured, follow the steps below to load data from XML tables into your DataFlow.
Follow the steps below to configure the gateway on your machine:
In the Connectors step, choose a folder where the gateway will look for the CData Power BI Connector. This article uses C:\Users\PBIEgwService\Documents\Power BI Desktop\Custom Connectors\. Copy the .pqx files for the CData Connector (found in C:\Users\USERNAME\Documents\Power BI Desktop\Custom Connectors\) to the folder you configured.
NOTE: The account configured for the service (NT SERVICE\PBIEgwService) needs to be able to access the folder chosen for the gateway. If needed, you can change the service account in the Service Settings section of the gateway installer.
Refresh your dataflow to have the most up to date data.
๐ Scheduled refresh of Dataflow.
At this point, you will have a Dataflow built on top of live XML data. Learn more about the CData Power BI Connectors for XML and download a free trial from the CData Power BI Connector for XML page. Let our Support Team know if you have any questions.
Download a free trial of the XML Power BI Connector to get started:
Download NowLearn more:
๐ XML Documents IconThe fastest and easiest way to connect Power BI to XML Documents data. Includes comprehensive high-performance data access, real-time integration, extensive metadata discovery, and robust SQL-92 support.