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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 SharePoint, you get access to live SharePoint data within Tableau Server. This article shows how to connect to SharePoint 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 SharePoint data in Tableau Server. Once you install the connector, you simply authenticate with SharePoint and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing SharePoint data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData Tableau Connectors grant seamless access to SharePoint 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 SharePoint data in Tableau Cloud, you will need to use CData Connect AI.
Accessing and integrating live data from SharePoint has never been easier with CData. Customers rely on CData connectivity to:
Most customers rely on CData solutions to integrate SharePoint data into their database or data warehouse, while others integrate their SharePoint data with preferred data tools, like Power BI, Tableau, or Excel.
For more information on how customers are solving problems with CData's SharePoint solutions, refer to our blog: Drivers in Focus: Collaboration Tools.
Start by installing the CData Tableau Connector on the machine hosting Tableau Server.
java -jar cdata.tableau.sharepoint.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 SharePoint in Tableau Desktop and publish a SharePoint-based Data Source to Tableau Server.
Set the URL property to the base SharePoint site or to a sub-site. This allows you to query any lists and other SharePoint entities defined for the site or sub-site.
The User and Password properties, under the Authentication section, must be set to valid SharePoint user credentials when using SharePoint On-Premise.
If you are connecting to SharePoint Online, set the SharePointEdition to SHAREPOINTONLINE along with the User and Password connection string properties. For more details on connecting to SharePoint Online, see the "Getting Started" chapter of the help documentation
Once you establish the connection to SharePoint 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 SharePoint data.
Using the CData Tableau Connector for SharePoint with Tableau Server, you can easily create robust visualizations and reports on SharePoint data. Download a free, 30-day trial and get started today.
Download a free trial of the SharePoint Tableau Connector to get started:
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π SharePoint IconThe fastest and easiest way to connect Tableau to SharePoint data. Includes comprehensive high-performance data access, real-time integration, extensive metadata discovery, and robust SQL-92 support.