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Redash is a collaboration tool that lets you query, visualize, and share your data. When paired with CData Connect AI, Redash gets access to live Azure DevOps data. This article demonstrates how to connect to Azure DevOps using Connect AI and work with live Azure DevOps data in Redash.
CData Connect AI provides a pure SQL Server interface for Azure DevOps, allowing you to query data from Azure DevOps without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Azure DevOps, leveraging server-side processing to return the requested Azure DevOps data quickly.
Connectivity to Azure DevOps from Redash is made possible through CData Connect AI. To work with Azure DevOps data in Redash, we start by creating and configuring a Azure DevOps connection.
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.
๐ Configuring a connection (Salesforce is shown)When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
With the connection configured and a PAT generated, you are ready to connect to Azure DevOps data from Redash.
To establish a connection from Redash to CData Connect AI using the Virtual SQL Server, follow these steps:
You can now work with live Azure DevOps data in Redash.
To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from Redash, try CData Connect AI today!
Learn more about CData Connect AI or sign up for free trial access:
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