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Tableau Server is a visual analytics platform transforming the way businesses use data to solve problems. When paired with the CData Tableau Connector for Microsoft Dataverse, you get access to live Microsoft Dataverse data within Tableau Server. This article shows how to connect to Microsoft Dataverse in Tableau Desktop, publish a Data Source to Tableau Server, and build a simple chart from that data.
The CData Tableau Connectors enable high-speed access to live Microsoft Dataverse data in Tableau Server. Once you install the connector, you simply authenticate with Microsoft Dataverse and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing Microsoft Dataverse data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData Tableau Connectors grant seamless access to Microsoft Dataverse data.
NOTE: The CData Tableau Connectors require Tableau 2020.3 or higher. If you are using an older version of Tableau, you will need to use the CData JDBC Driver. If you wish to connect to Microsoft Dataverse data in Tableau Cloud, you will need to use CData Connect AI.
CData provides the easiest way to access and integrate live data from Microsoft Dataverse (formerly the Common Data Service). Customers use CData connectivity to:
CData customers use our Dataverse connectivity solutions for a variety of reasons, whether they're looking to replicate their data into a data warehouse (alongside other data sources)or analyze live Dataverse data from their preferred data tools inside the Microsoft ecosystem (Power BI, Excel, etc.) or with external tools (Tableau, Looker, etc.).
Start by installing the CData Tableau Connector on the machine hosting Tableau Server.
java -jar cdata.tableau.cds.jar -l
If you cannot execute the java commmand from step 2, you will need to install a Java runtime environment. The name of this package differs on Red Hat-based and Debian-based systems:
| OS | Java Package |
|---|---|
| Ubuntu | openjdk-8-jre-headless |
| Debian | openjdk-8-jre-headless |
| RHEL | java-1.8.0-openjdk |
| CentOS | java-1.8.0-openjdk |
| Fedora | java-1.8.0-openjdk |
| SUSE | java-1_8_0-openjdk |
You can substitute Java 8 with a later Java release as needed.
Once the connectors are installed on the Server machine, we can configure a connection to Microsoft Dataverse in Tableau Desktop and publish a Microsoft Dataverse-based Data Source to Tableau Server.
You can connect without setting any connection properties for your user credentials. Below are the minimum connection properties required to connect.
When you connect the Common Data Service OAuth endpoint opens in your default browser. Log in and grant permissions. The OAuth process completes automatically.
Once you establish the connection to Microsoft Dataverse data, you can configure which entities to visualize.
After you configure the data you wish to visualize, you can publish the Data Source to a Tableau Server instance. In Tableau Desktop:
This creates a new entry under the server's data source list, from which you an change the data source's permissions, view its history, and perform other management tasks.
π Data Source EntryNote that workstation connected to the same server will be able to use the same source in Tableau Desktop, even if the connector isn't installed there. Also, workbooks created directly on Tableau Server (via the web interface) can use this source.
With the Data Source published to Tableau Server, you are ready to visualize Microsoft Dataverse data.
Using the CData Tableau Connector for Microsoft Dataverse with Tableau Server, you can easily create robust visualizations and reports on Microsoft Dataverse data. Download a free, 30-day trial and get started today.
Download a free trial of the Microsoft Dataverse Tableau Connector to get started:
Download NowLearn more:
π Microsoft Dataverse IconThe fastest and easiest way to connect Tableau to Microsoft Dataverse. Includes comprehensive high-performance data access, real-time integration, extensive metadata discovery, and robust SQL-92 support.