Azure DevOps Connector for Power BI Azure DevOps Connector can be used to integrate Azure DevOps data in your App / BI Tools. You can create, read, query, modify, and delete WorkItems, Projects, Teams and more. In this article you will learn how to quickly and efficiently integrate Azure DevOps data in Power BI without coding. We will use high-performance Azure DevOps Connector to easily connect to Azure DevOps and then access the data inside Power BI. Let's follow the steps below to see how we can accomplish that! Download Documentation Azure DevOps Connector for Power BI is based on ZappySys API Driver which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few.

Connect to Azure DevOps in other apps Connect to Azure DevOps in SSIS Connect to Azure DevOps in SQL Server Connect to Azure DevOps in SSRS Connect to Azure DevOps in Informatica Connect to Azure DevOps in MS Access Connect to Azure DevOps in MS Excel Connect to Azure DevOps in SSAS Connect to Azure DevOps in C# Connect to Azure DevOps in Python Connect to Azure DevOps in JAVA Connect to Azure DevOps in Tableau Connect to Azure DevOps in SAP Crystal Reports Connect to Azure DevOps in Azure Data Factory (Pipeline) Connect to Azure DevOps in Azure Data Factory (SSIS) Connect to Azure DevOps in Talend Studio Connect to Azure DevOps in UiPath Connect to Azure DevOps in PowerShell Connect to Azure DevOps in ODBC

Video Tutorial - Integrate Azure DevOps data in Power BI

This video covers the following topics and more, so please watch carefully. After watching the video, follow the steps outlined in this article:

• How to download and install the required PowerPack for Azure DevOps integration in Power BI
• How to configure the connection for Azure DevOps
• Features of the ZappySys API Driver (Authentication / Query Language / Examples / Driver UI)
• How to use the Azure DevOps in Power BI

Create ODBC Data Source (DSN) based on ZappySys API Driver

Step-by-step instructions

To get data from Azure DevOps using Power BI we first need to create a DSN (Data Source) which will access data from Azure DevOps. We will later be able to read data using Power BI. Perform these steps:

1. Download and install ODBC PowerPack.

2. Open ODBC Data Sources (x64):

   

3. Create a User data source (User DSN) based on ZappySys API Driver

   ZappySys API Driver

   
   • Create and use User DSN if the client application is run under a User Account. This is an ideal option in design-time, when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit.
   • Create and use System DSN if the client application is launched under a System Account, e.g. as a Windows Service. Usually, this is an ideal option to use in a production environment. Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.
   Power BI uses a Service Account, when a solution is deployed to production environment, therefore for production environment you have to create and use a System DSN.

4. When the Configuration window appears give your data source a name if you haven't done that already, then select "Azure DevOps" from the list of Popular Connectors. If "Azure DevOps" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

   AzureDevopsDSN

   Azure DevOps

   

5. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

    OAuth [OAuth]

   Steps how to get and use Azure DevOps credentials
   Connecting to your Azure DevOps data requires you to authenticate your REST API access. Follow the instructions below:

   1. Go to https://app.vsaex.visualstudio.com/app/register to register your app.
   2. Fill in your application and company's information as required, and then select the scopes that your application needs. This should typically be Project and team (read and write) and Work items (read and write).
      Your selected scopes when registering your app must match the scopes you enter here on the connector screen. If they don't match, the connector will not be able to work with your Azure DevOps account!

      If you need further information about the scopes used in Azure DevOps, or need to see what to enter into the connector screen to match up with your selected scopes, visit https://learn.microsoft.com/en-us/azure/devops/integrate/get-started/authentication/oauth?view=azure-devops.
      

      NOTE: For Authorization callback URL use your company's OAuth Redirect URL (if IT administrator provides you one) or you can use https://zappysys.com/oauth (it's safe).

   3. Select Create Application and then the Application Settings page will be displayed.
   4. Record the App ID for us to use later:
   5. And do the same with Client Secret:
   6. Then go to https://aex.dev.azure.com and select relevant organization on the left.
   7. Then copy Organization's host name part (e.g. acmeinc, if full host name is acmeinc.visualstudio.com), save it to a file, and click it:
   8. Back at the connector screen, enter the App ID into the Client Id (App ID) field that was recorded in the previous step.
   9. Enter the Client Secret that was recorded in the previous step into the Client Secret field. In order to edit the text in this field, select the ellipses (...) button that appears when the textbox is clicked, and edit the Client Secret with the dialog box that appears.
   10. Enter the organization that was recorded in step 5 into the Organization name or Id for url field.
   11. Click Generate Token. If proper authentication occurs, you will see a notice saying so. You can click Yes to save a backup file of your generated tokens.
   12. Select the project you want to connect to by default from the Default Project (Choose after Generating Token) field.
   13. Select the Security tab.
   14. Enter https://auditservice.dev.azure.com,https://almsearch.dev.azure.com into the Additional Trusted Domains field.
   15. Select the Test Connection button at the bottom of the window to verify proper connectivity with your Azure DevOps account.
   16. If the connection test succeeds, select OK.
   17. To edit previously created app you can visit https://app.vsaex.visualstudio.com/me and see Applications and services section. Click on your desired app name.

   Fill in all required parameters and set optional parameters if needed:

   AzureDevopsDSN

   Azure DevOps

   OAuth [OAuth]

   https://dev.azure.com

   Required Parameters
   Client Id (App ID)	Fill-in the parameter...
   Client Secret	Fill-in the parameter...
   Organization name or Id for url (e.g. mycompany)	Fill-in the parameter...
   Return URL	Fill-in the parameter...
   Scopes (Must match with App Registration)	Fill-in the parameter...
   API Version	Fill-in the parameter...
   Optional Parameters
   Default Project Name (Choose after Generating Token)
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	429
   RetryCountMax	5
   RetryMultiplyWaitTime	True

   

    Personal Access Token (PAT) [Http]

   Steps how to get and use Azure DevOps credentials
   To connect to Azure DevOps using a Personal Access Token (PAT), you must first create a valid PAT:

   1. Start by by going to https://aex.dev.azure.com and selecting relevant organization on the left.
   2. Then copy Organization's host name part (e.g. acmeinc, if full host name is acmeinc.visualstudio.com), save it to a file, and click it:
   3. Next, click User settings icon and then click Personal access tokens:
   4. Then click New Token button to create a new personal access token:
   5. Continue by...
      • naming your token
      • selecting the right Organization
      • setting token's Expiration date (it's recommended to use Custom defined option and make it expire after one year or later)
      • and setting the Scopes:
      

      NOTE: You may be restricted from creating full-scoped PATs. If so, your Azure DevOps administrator in Azure AD has enabled a policy which limits you to a specific custom defined set of scopes.

   6. Now click Copy button and save the newly created token into a file for quick access later:
   7. Go back to the connector screen, input the token you saved in a previous step into the Personal Access Token (PAT) field.
   8. Then enter the Organization host name part that you noted recorded in previous step into Organization name or Id for url field.
   9. Enter the name or Id of the project you want to connect to by default in the Default Project (Choose after above fields) field.
   10. Select the Security tab.
   11. Enter https://auditservice.dev.azure.com,https://almsearch.dev.azure.com,https://analytics.dev.azure.com into the Additional Trusted Domains field.
   12. Select the Test Connection button at the bottom of the window to verify proper connectivity with your Azure DevOps account.
   13. Done!

   Fill in all required parameters and set optional parameters if needed:

   AzureDevopsDSN

   Azure DevOps

   Personal Access Token (PAT) [Http]

   https://dev.azure.com

   Required Parameters
   Personal Access Token (PAT)	Fill-in the parameter...
   Organization name or Id for url	Fill-in the parameter...
   API Version	Fill-in the parameter...
   Optional Parameters
   AuthScheme	Bearer
   AuthHeader	Authorization
   UserName
   Default Project Name (Choose after Generating Token)
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	429
   RetryCountMax	5
   RetryMultiplyWaitTime	True

   

6. Once the data source connection has been configured, it's time to configure the SQL query. Select the Preview tab and then click Query Builder button to configure the SQL query:

   

   ZappySys API Driver - Azure DevOps

   Azure DevOps Connector can be used to integrate Azure DevOps data in your App / BI Tools. You can create, read, query, modify, and delete WorkItems, Projects, Teams and more.

   AzureDevopsDSN

   

7. Start by selecting the Table or Endpoint you are interested in and then configure the parameters. This will generate a query that we will use in Power BI to retrieve data from Azure DevOps. Hit OK button to use this query in the next step.

   SELECT * FROM Projects

   
   Some parameters configured in this window will be passed to the Azure DevOps API, e.g. filtering parameters. It means that filtering will be done on the server side (instead of the client side), enabling you to get only the meaningful data much faster.

8. Now hit Preview Data button to preview the data using the generated SQL query. If you are satisfied with the result, use this query in Power BI:

   

   ZappySys API Driver - Azure DevOps

   Azure DevOps Connector can be used to integrate Azure DevOps data in your App / BI Tools. You can create, read, query, modify, and delete WorkItems, Projects, Teams and more.

   AzureDevopsDSN

   SELECT * FROM Projects

   
   You can also access data quickly from the tables dropdown by selecting <Select table>.
   A WHERE clause, LIMIT keyword will be performed on the client side, meaning that the whole result set will be retrieved from the Azure DevOps API first, and only then the filtering will be applied to the data. If possible, it is recommended to use parameters in Query Builder to filter the data on the server side (in Azure DevOps servers).

9. Click OK to finish creating the data source.

Video Tutorial

Read Azure DevOps data in Power BI using ODBC

Importing Azure DevOps data into Power BI from table or view

1. Once you open Power BI Desktop click Get Data to get data from ODBC:
   

2. A window opens, and then search for "odbc" to get data from ODBC data source:
   

3. Another window opens and asks to select a Data Source we already created. Choose AzureDevopsDSN and continue:

   AzureDevopsDSN

   

4. Most likely, you will be asked to authenticate to a newly created DSN. Just select Windows authentication option together with Use my current credentials option:

   AzureDevopsDSN

   

5. Finally, you will be asked to select a table or view to get data from. Select one and load the data!
   

6. Finally, finally, use extracted data from Azure DevOps in a Power BI report:
   

Importing Azure DevOps data into Power BI using SQL query

If you wish to import Azure DevOps data from SQL query rather than a table then you can use advanced options during import steps (as below). After selecting DSN you can click on advanced options to see SQL Query editor.

AzureDevopsDSN

SELECT * FROM Projects

Using a full ODBC connection string

In the previous steps we used a very short format of ODBC connection string - a DSN. Yet sometimes you don't want a dependency on an ODBC data source (and an extra step). In those times, you can define a full connection string and skip creating an ODBC data source entirely. Let's see below how to accomplish that in the below steps:

1. Open ODBC data source configuration and click Copy settings:
   

   ZappySys API Driver - Configuration [Version: 2.0.1.10418]

   ZappySys API Driver - Azure DevOps

   Azure DevOps Connector can be used to integrate Azure DevOps data in your App / BI Tools. You can create, read, query, modify, and delete WorkItems, Projects, Teams and more.

   AzureDevopsDSN

   
2. The window opens, telling us the connection string was successfully copied to the clipboard:
3. Then just paste the connection string into your script:
   AzureDevopsDSN

   DRIVER={ZappySys API Driver};ServiceUrl=https://dev.azure.com;Provider=Vsts;ScopeSeparator={space};ReturnUrl=[$ReturnUrl$];Scope=[$Scope$];

   
4. You are good to go! The script will execute the same way as using a DSN.

Limitations of using a full connection string

Despite using a full ODBC connection string may be very convenient it comes with a limitation: it's length is limited to 1024 symbols (or sometimes more). It usually happens when API provider generates a very long Refresh Token when OAuth is at play. If you are using such a long ODBC connection string, you may get this error:

"Connection string exceeds maximum allowed length of 1024"

But there is a solution to this by storing the full connection string in a file. Follow the steps below to achieve this:

1. Open your ODBC data source.
2. Click Copy settings button to copy a full connection string (see the previous section on how to accomplish that).
3. Then create a new file, let's say, in C:\temp\odbc-connection-string.txt.
4. Continue by pasting the copied connection string into a newly created file and save it.
5. Finally, the last step! Just construct a shorter ODBC connection string using this format:

   DRIVER={ZappySys API Driver};SettingsFile=C:\temp\odbc-connection-string.txt

6. Our troubles are over! Now you should be able to use this connection string in Power BI with no problems.

Editing query for table in Power BI

There will be a time you need to change the initial query after importing data into Power BI. Don't worry, just right-click on your table and click Edit query menu item:

Using parameters in Power BI (dynamic query)

In the real world, many values of your REST / SOAP API call may be coming from parameters. If that's the case for you can try to edit script manually as below. In below example its calling SQL Query with POST method and passing some parameters. Notice below where paraAPIKey is Power BI Parameter (string type). You can use parameters anywhere in your script just like the normal variable.

To use a parameter in Power BI report, follow these simple steps:

1. Firstly, you need to Edit query of your table (see previous section)

2. Then just create a new parameter by clicking Manage Parameters dropdown, click New Parameter option, and use it in the query:

   						
                               = Odbc.Query("dsn=AzureDevopsDSN",
                                            "SELECT ProductID, ProductName, UnitPrice, UnitsInStock
                                             FROM Products
                                             WHERE UnitPrice > " & Text.From(MyParameter) & "
                                             ORDER BY UnitPrice")
                           
                   

   
   Refer to Power Query M reference for more information on how to use its advanced features in your queries.

Using DirectQuery Option rather than Import

So far we have seen how to Import Azure DevOps data into Power BI, but what if you have too much data and you don't want to import but link it. Power BI Offers very useful feature for this scenario. It's called DirectQuery Option. In this section we will explore how to use DirectQuery along with ZappySys Drivers.

Out of the box ZappySys Drivers won't work in ODBC Connection Mode, so you have to use SQL Server Connection rather than ODBC if you wish to use Live data using DirectQuery option. See below step-by-step instructions to enable DirectQuery mode in Power BI for Azure DevOps data.

Basically we will use ZappySys Data Gateway its part of ODBC PowerPack. We will then use Linked Server in SQL Server to Link API Service, then issue OPENROWSET queries from Power BI to SQL Server, and it will then call Azure DevOps via ZappySys Data Gateway.

1. First, create a data source in ZappySys Data Gateway and create a Linked Server based on it.
2. Once SQL Server Linked Server is configured we are ready to issue a SQL query in Power BI.
3. Click Get Data in Power BI, select SQL Server Database
4. Enter your server name and any database name
5. Select Mode as DirectQuery
6. Click on Advanced and enter query like below (we are assuming you have created Azure DevOps Data Source in Data Gateway and defined linked server - change the name below).

   SELECT * FROM OPENQUERY([LS_TO_AZURE_DEVOPS_IN_GATEWAY], 'SELECT * FROM Projects')

   SELECT * FROM OPENQUERY([LS_TO_AZURE_DEVOPS_IN_GATEWAY], 'SELECT * FROM Projects')

   

   
   DirectQuery option for Power BI (Read Azure DevOps Data Example using SQL Server Linked Server and ZappySys Data Gateway)

7. Click OK and Load data... That's it. Now your Azure DevOps API data is linked rather than imported.

Publishing Power BI report to Power BI service

Here are the instructions on how to publish a Power BI report to Power BI service from Power BI Desktop application:

1. First of all, go to Power BI Desktop, open a Power BI report, and click Publish button:

   

2. Then select the Workspace you want to publish report to and hit Select button:

   

3. Finally, if everything went right, you will see a window indicating success:

   

   If you need to periodically refresh Power BI semantic model (dataset) to ensure data accuracy and up-to-dateness, you can accomplish that by using Microsoft On-premises data gateway. Proceed to the next section - Refreshing Power BI semantic model (dataset) using On-premises data gateway - and learn how to do that.

Refreshing Power BI semantic model (dataset) using On-premises data gateway

Power BI allows to refresh semantic models which are based on data sources that reside on-premises. This can be achieved using Microsoft On-premises data gateway. There are two types of On-premises gateways:

• Standard Mode
• Personal Mode

Standard Mode supports Power BI and other Microsoft Data Fabric services. It fits perfectly for Enterprise solutions as it installs as a Windows Service and also supports Direct Query feature.

Personal Mode, on the other hand, can be configured faster, but is designed more for home users (you cannot install it as a Windows Service and it does not support DirectQuery). You will find a detailed comparison in the link above.

We recommend to go with Personal Mode for a quick POC solution, but use Standard Mode in production environment.

Below you will find instructions on how to refresh semantic model using both types of gateways.

Refresh using On-premises data gateway (standard mode)

Here are the instructions on how to refresh a Power BI semantic model using On-premises data gateway (standard mode):

1. Go to Power BI My workspace, hover your mouse cursor on your semantic model and click Settings:

   

2. If you see this view, it means you have to install On-premises data gateway (standard mode):

   

3. Install On-premises data gateway (standard mode) and sign-in:

   
   Use the same email address you use when logging in into Power BI account.

4. Register a new gateway (or migrate an existing one):

   

5. If you are creating a new gateway, name your gateway, enter a Recovery key, and click Configure button:

   

6. Now, let's get back to your semantic model settings in Power BI portal. Refresh the page and you should see your newly created gateway. Click arrow icon and then click on Add to gateway link:

   ODBC{"connectionstring":"dsn=AzureDevopsDSN"}

   

7. Once you do that, you will create a new gateway connection. Give it a name, set Authentication method, Privacy level, and click Create button:

   dsn=AzureDevopsDSN

   
   In this example, we used the least restrictive Privacy level.

   If your connection uses a full connection string you may hit a length limitation when entering it into the field. To create the connection, you will need to shorten it manually. Check the section about the limitation of a full connection string on how to accomplish it.

   On-premises data gateway (personal mode) does not have this limitation.

8. Proceed by choosing the newly created connection:

   ODBC{"connectionstring":"dsn=AzureDevopsDSN"}

   

9. Finally, you are at the final step where you can refresh the semantic model:

   

Refresh using On-premises data gateway (personal mode)

Here are the instructions on how to refresh a Power BI semantic model using On-premises data gateway (personal mode):

1. Go to Power BI My workspace, hover your mouse cursor on your semantic model and click Settings:

   

2. If you see this view, it means you have to install On-premises data gateway (personal mode):

   

3. Install On-premises data gateway (personal mode) and sign-in:

   
   Use the same email address you use when logging in into Power BI account.

4. Again, go to your semantic model Settings, expand Data source credentials, click Edit credentials, select Authentication method together with Privacy level, and then click Sign in button:

   dsn=AzureDevopsDSN

   

5. Finally, you are ready to refresh your semantic model:

   

Actions supported by Azure DevOps Connector

Learn how to perform common Azure DevOps actions directly in Power BI with these how-to guides:

• Create Project
• Create Team
• Create Work Item
• Create Work Item Comment
• Delete Project
• Delete Team
• Delete Work Item
• Delete Work Item Comment
• Get List of Projects
• Get List of Queries
• Get List of Teams
• Get Project Details
• Get Query Fileds
• Get Team Details
• Get Team Iteration Capacities
• Get Team Iterations
• Get Team Members
• Get Work Item Column Fields
• Get Work Item Comment by Comment Id and Work Item Id
• Get Work Item Comments (by WorkItem Id)
• Get Work Item Types
• Get Work Items by Ids
• Get Work Items for Specified Query Id
• Query Work Item Comments
• Query Work Items
• Search for Work Items by Text
• Update Project
• Update Team
• Update Work Item
• Update Work Item Comment
• Generic Request
• Generic Request (Bulk Write)

Conclusion

In this article we showed you how to connect to Azure DevOps in Power BI and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys API Driver allows you to connect not only to Azure DevOps, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download Azure DevOps Connector for Power BI and see how easy it is to use it for yourself or your team.

If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.

Download Azure DevOps Connector for Power BI Documentation

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