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URL: https://www.cdata.com/kb/tech/azuredevops-cloud-datapine.rst

⇱ Build Azure DevOps-Connected Visualizations in datapine


Build Azure DevOps-Connected Visualizations in datapine

πŸ‘ Dibyendu Datta
Dibyendu Datta
Lead Technology Evangelist
Use CData Connect AI and datapine to build visualizations and dashboards with access to live Azure DevOps data.

datapine is a browser-based business intelligence platform. When paired with the CData Connect AI, you get access to your Azure DevOps data directly from your datapine visualizations and dashboards. This article describes connecting to Azure DevOps in CData Connect AI and building a simple Azure DevOps-connected visualization in datapine.

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.

Configure Azure DevOps Connectivity for datapine

Connectivity to Azure DevOps from datapine is made possible through CData Connect AI. To work with Azure DevOps data from datapine, we start by creating and configuring a Azure DevOps connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "Azure DevOps" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. Enter the necessary authentication properties to connect to Azure DevOps. You can connect to your Azure DevOps account by providing the Organization and PersonalAccessToken.

    Obtaining a Personal Access Token

    A PersonalAccessToken is necessary for account authentication.

    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.

    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Azure DevOps Connection page and update the User-based permissions. πŸ‘ Updating permissions

Add a Personal Access Token

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.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. πŸ‘ Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Azure DevOps data from datapine.

Connecting to Azure DevOps from datapine

Once you configure your connection to Azure DevOps in Connect AI, you are ready to connect to Azure DevOps from datapine.

  1. Log into datapine
  2. Click Connect to navigate to the "Connect" page
  3. Select MS SQL Server as the data source
  4. In the Integration step, fill in the connection properties and click "Save and Proceed"
    • Set the Internal Name
    • Set Database Name to the name of the connection we just configured (e.g. AzureDevOps1)
    • Set Host / IP to "tds.cdata.com"
    • Set Username to your Connect AI username (e.g. [email protected])
    • Set Password to the corresponding PAT
    • Set Database Port to "14333"
    πŸ‘ Configuring the connection to CData Connect AI
  5. In the Data Schema step, select the tables and fields to visualize and click "Save and Proceed" πŸ‘ Selecting tables and fields to visualize (Salesforce is shown)
  6. In the References step, define any relationships between your selected tables and click "Save and Proceed" πŸ‘ Defining foreign key relationships
  7. In the Data Transfer step, click "Go to Analyzer"

Visualize Azure DevOps Data in datapine

After connecting to CData Connect AI, you are ready to visualize your Azure DevOps data in datapine. Simply select the dimensions and measures you wish to visualize!

πŸ‘ Visualizing data in datapine (Salesforce is shown)

Having connect to Azure DevOps from datapine, you are now able to visualize and analyze real-time Azure DevOps data no matter where you are. To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from datapine, try CData Connect AI today!