![]() |
VOOZH | about |
Tableau Server is a visual analytics platform transforming the way businesses use data to solve problems. When paired with the CData Tableau Connector for Xero, you get access to live Xero data within Tableau Server. This article shows how to connect to Xero 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 Xero data in Tableau Server. Once you install the connector, you simply authenticate with Xero and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing Xero data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData Tableau Connectors grant seamless access to Xero 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 Xero data in Tableau Cloud, you will need to use CData Connect AI.
Accessing and integrating live data from Xero has never been easier with CData. Customers rely on CData connectivity to:
Customers regularly integrate their Xero data with preferred tools, like Tableau, Qlik Sense, or Excel, and integrate Xero data into their database or data warehouse.
Start by installing the CData Tableau Connector on the machine hosting Tableau Server.
java -jar cdata.tableau.xero.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 Xero in Tableau Desktop and publish a Xero-based Data Source to Tableau Server.
To connect, set the Schema connection property in addition to any authentication values. Xero offers authentication for private applications, public applications, and partner applications. Set the XeroAppAuthentication property to PUBLIC, PRIVATE, or PARTNER, depending on the type of application configured. To connect from a private application, you will additionally need to set the OAuthAccessToken, OAuthClientId, OAuthClientSecret, CertificateStoreType, CertificateStore, and CertificateStorePassword.
To connect from a public or partner application, you can use the embedded OAuthClientId, OAuthClientSecret, and CallbackURL, or you can register an app to obtain your own OAuth values.
See the "Getting Started" chapter of the help documentation for a guide to authenticating to Xero.
Once you establish the connection to Xero 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 Xero data.
Using the CData Tableau Connector for Xero with Tableau Server, you can easily create robust visualizations and reports on Xero data. Download a free, 30-day trial and get started today.
Download a free trial of the Xero Tableau Connector to get started:
Download NowLearn more:
π Xero IconThe fastest and easiest way to connect Tableau to Xero data. Includes comprehensive high-performance data access, real-time integration, extensive metadata discovery, and robust SQL-92 support.