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Tableau is a visual analytics platform transforming the way businesses use data to solve problems. When paired with the CData Tableau Connector for Azure DevOps, you can easily get access to live Azure DevOps data within Tableau. This article shows how to connect to Azure DevOps in Tableau and build a simple chart.
The CData Tableau Connectors enable high-speed access to live Azure DevOps data in Tableau. Once you install the connector, you simply authenticate with Azure DevOps and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing Azure DevOps data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData Tableau Connectors grant seamless access to Azure DevOps 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 Azure DevOps data in Tableau Cloud, you will need to use CData Connect AI.
Open Tableau and click More under Connect -> To a Server. Select "Azure DevOps by CData," then configure the connection and click "Sign In."
You can connect to your Azure DevOps account by providing the Organization and PersonalAccessToken.To generate one, log in to your Azure DevOps Organization account and navigate to Profile -> Personal Access Tokens -> New Token. The generated token will be displayed.
If you wish to authenticate to Azure DevOps using OAuth refer to the online Help documentation for an authentication guide.
👁 Configuring the Connector (Sage Intacct is shown)Using the CData Tableau Connector for Azure DevOps with Tableau, you can easily create robust visualizations and reports on Azure DevOps data. Download a free, 30-day trial and get started today.
Download a free trial of the Azure DevOps Tableau Connector to get started:
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👁 Azure DevOps IconThe fastest and easiest way to connect Tableau to Azure DevOps data. Includes comprehensive high-performance data access, real-time integration, extensive metadata discovery, and robust SQL-92 support.