Azure DevOps Connector for Power BI
Read and write Azure DevOps (Cloud or On-Premises) data effortlessly. Integrate, manage, and automate work items, projects, and teams — almost no coding required.
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!
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.
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:
-
Download and install ODBC PowerPack.
-
Open ODBC Data Sources (x64):
-
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. -
Create and use User DSN
if the client application is run under a User Account.
This is an ideal option
-
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:
AzureDevopsDSNAzure DevOps
-
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.
Azure DevOps authentication
Delegated access using OAuth authorization code flow. Users sign in with their Azure AD account. [API reference]
Follow these simple steps below to create Microsoft Entra ID application with delegated access:
WARNING: To automate your company's processes, make sure you use a system/generic account (e.g.automation@my-company.com). When you use a personal account which is tied to a specific employee profile and that employee leaves the company, the token may become invalid and any automated processes using that token will start to fail.- Navigate to the Azure Portal and log in using your credentials.
- Access Microsoft Entra ID.
-
Register a new application by going to
App registrations
and clicking on New registration button:
INFO: Find more information on how to register an application in Graph API reference. -
When configuration window opens, configure these fields:
-
Supported account type
- Use
Accounts in this organizational directory only, if you need access to data in your organization only.
- Use
-
Supported account type
-
Redirect URI:
- Set the type to
Public client/native (mobile & desktop). - Use
https://zappysys.com/oauthas the URL.
- Set the type to
-
After registering the app, copy the Application (client) ID for later:
-
Then copy OAuth authorization endpoint (v2) & OAuth token endpoint (v2) URLs to use later in the configuration:
-
Now go to SSIS package or ODBC data source and use the copied values in User Credentials authentication configuration:
- In the Authorization URL field paste the OAuth authorization endpoint (v2) URL value you copied in the previous step.
- In the Token URL field paste the OAuth token endpoint (v2) URL value you copied in the previous step.
- In the Client ID field paste the Application (client) ID value you copied in the previous step.
-
In the Scope field use the default value or select individual scopes, e.g.:
-
vso.project -
vso.work_full
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- Press Generate Token button to generate Access and Refresh Tokens.
- Optional step. Choose Default Drive Id from the drop down menu.
- Click Test Connection to confirm the connection is working.
- Done! Now you are ready to use the API Connector!
API Connection Manager configuration
Just perform these simple steps to finish authentication configuration:
-
Set Authentication Type to
User Credentials [OAuth] - Optional step. Modify API Base URL if needed (in most cases default will work).
- Fill in all the required parameters and set optional parameters if needed.
- Press Generate Token button to generate the tokens.
- Finally, hit OK button:
AzureDevopsDSNAzure DevOpsUser Credentials [OAuth]https://dev.azure.comRequired Parameters Authorization URL Fill-in the parameter... Token URL Fill-in the parameter... Client ID Fill-in the parameter... Organization name or Id (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 Client Secret Refresh Token File Path Default Project Name (Choose after Generating Token) RetryMode RetryWhenStatusCodeMatch RetryStatusCodeList 429 RetryCountMax 5 RetryMultiplyWaitTime True
Azure DevOps authentication
Use Azure AD service principal credentials (client id + secret) with the client credentials flow. Recommended for automated server-to-server access instead of PAT or delegated OAuth. [API reference]
Step 1: Register the App in Microsoft Entra ID (AAD)
- Go to the Azure Portal > Microsoft Entra ID > App registrations and click New registration:
- Name it (e.g., ZS-AzureDevOps-AppCred).
- Set Supported account types to "Accounts in this organizational directory only" (Single Tenant):
- Leave Redirect URI blank (it's not used for Client Credentials).
- Click Register.
Step 2: Create a Client Secret
- In your new app, go to Certificates & secrets.
- Click New client secret, give it a name, and set an expiration.
- Copy the Secret Value immediately. You will never see it again once you leave the page:
Step 3: Set Permissions and Admin Consent
- Go to API permissions > Add a permission.
- Select Azure DevOps and click Delegated permissions.
- Check the necessary scopes (e.g.,
vso.project,vso.work_full). - Crucial: Click Grant admin consent for [Your Tenant]. Without this, the app cannot authenticate in the background.
Step 4: Map the App to Azure DevOps Organization
- Copy your Application (client) ID from the App Overview page.
- Go to your Azure DevOps Organization Settings > Users.
- Click Add users, paste the Application (client) ID in the search box, and select the App.
- Assign an Access level (usually Basic) and add it to the relevant Projects.
Step 5: Connection Settings
In your SSIS package or ODBC data source, use the following in the App Credentials configuration:
- In the Token URL field, paste the OAuth token endpoint (v2) URL from the Azure Portal 'Endpoints' tab.
- In the Client ID field, paste the Application (client) ID.
- In the Client Secret field, paste the Secret Value copied in Step 2.
- In the Scope field, use:
https://app.vssps.visualstudio.com/.default
Step 6: Finalize Connection
- Press Generate Token button to fetch the token using the Client Secret.
- Click Test Connection to confirm the setup.
- Done! You are ready to use the API Connector!
API Connection Manager configuration
Just perform these simple steps to finish authentication configuration:
-
Set Authentication Type to
Azure App Credentials [OAuth] - Optional step. Modify API Base URL if needed (in most cases default will work).
- Fill in all the required parameters and set optional parameters if needed.
- Finally, hit OK button:
AzureDevopsDSNAzure DevOpsAzure App Credentials [OAuth]https://dev.azure.comRequired Parameters Token URL Fill-in the parameter... Client ID Fill-in the parameter... Client Secret Fill-in the parameter... Scopes (Use .default for App Credentials) Fill-in the parameter... Organization name or Id Fill-in the parameter... API Version Fill-in the parameter... Optional Parameters Default Project Name RetryMode RetryWhenStatusCodeMatch RetryStatusCodeList 429 RetryCountMax 5 RetryMultiplyWaitTime True
Azure DevOps authentication
Same as Application Credentials but uses a client certificate instead of a secret. [API reference]
Step 1: Register the App in Microsoft Entra ID (AAD)
- Go to the Azure Portal > Microsoft Entra ID > App registrations and click New registration:
- Name it (e.g., ZS-AzureDevOps-CertAuth).
- Set Supported account types to "Accounts in this organizational directory only" (Single Tenant):
- Leave Redirect URI blank (it's not used for Client Credentials flows).
- Click Register.
Step 2: Upload Client Certificate
- In your new app, go to Certificates & secrets.
- Click the Certificates tab, then click Upload certificate.
- Upload your public key certificate (.cer, .pem, or .crt). Keep the private key secure on your system.
- Copy the Thumbprint for your configuration:
Step 3: Set Permissions and Admin Consent
- Go to API permissions > Add a permission.
- Select Azure DevOps and click Delegated permissions.
- Select the required scopes (e.g.,
vso.project,vso.work_full). - Crucial: Click Grant admin consent for [Your Tenant]. Without this, the background service cannot acquire a token.
Step 4: Map the App to Azure DevOps Organization
- Copy your Application (client) ID from the App Overview page.
- Go to your Azure DevOps Organization Settings > Users.
- Click Add users and paste the Application (client) ID in the search box to find the App.
- Assign an Access level (usually Basic) and add it to the relevant Projects.
Step 5: Connection Settings
In your SSIS package or ODBC data source, use the following in the Client Certificate configuration:
- In the Token URL field, paste the OAuth token endpoint (v2) URL from the Azure Portal 'Endpoints' tab.
- In the Client ID field, paste the Application (client) ID.
- Configure your Certificate Path or Thumbprint in the Client Certificate tab of the connector.
- In the Scope field, use:
https://app.vssps.visualstudio.com/.default
Step 6: Finalize Connection
- Press Generate Token. The connector will sign the request using your certificate to fetch a token.
- Click Test Connection to confirm the setup.
- Done! Your certificate-based connection is ready!
API Connection Manager configuration
Just perform these simple steps to finish authentication configuration:
-
Set Authentication Type to
Azure App Credentials with Certificate (Sign JWT with Private Key) [OAuth] - Optional step. Modify API Base URL if needed (in most cases default will work).
- Fill in all the required parameters and set optional parameters if needed.
- Finally, hit OK button:
AzureDevopsDSNAzure DevOpsAzure App Credentials with Certificate (Sign JWT with Private Key) [OAuth]https://dev.azure.comRequired Parameters Token URL Fill-in the parameter... Client ID Fill-in the parameter... Certificate: *** Configure [Client Certificate] Tab *** Fill-in the parameter... Scopes (Must match with App Registration) Fill-in the parameter... Organization name or Id Fill-in the parameter... API Version Fill-in the parameter... Optional Parameters Default Project Name RetryMode RetryWhenStatusCodeMatch RetryStatusCodeList 429 RetryCountMax 5 RetryMultiplyWaitTime True
Azure DevOps authentication
**DEPRECATED:** this OAuth-based user credential flow is legacy; for new integrations prefer the Azure App Credentials options below. Connecting to your Azure DevOps data requires you to authenticate your REST API access. Follow the instructions below:- Go to https://app.vsaex.visualstudio.com/app/register to register your app.
-
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). - Select Create Application and then the Application Settings page will be displayed.
-
Record the App ID for us to use later:
-
And do the same with Client Secret:
- Then go to https://aex.dev.azure.com and select relevant organization on the left.
-
Then copy Organization's host name part (e.g.
acmeinc, if full host name isacmeinc.visualstudio.com), save it to a file, and click it:
- Back at the connector screen, enter the App ID into the Client Id (App ID) field that was recorded in the previous step.
- 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.
- Enter the organization that was recorded in step 5 into the Organization name or Id for url field.
- 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.
- Select the project you want to connect to by default from the Default Project (Choose after Generating Token) field.
- Select the Security tab.
-
Enter
https://auditservice.dev.azure.com,https://almsearch.dev.azure.cominto the Additional Trusted Domains field. - Select the Test Connection button at the bottom of the window to verify proper connectivity with your Azure DevOps account.
- If the connection test succeeds, select OK.
-
To edit previously created app you can visit
https://app.vsaex.visualstudio.com/meand see Applications and services section. Click on your desired app name.
API Connection Manager configuration
Just perform these simple steps to finish authentication configuration:
-
Set Authentication Type to
(Cloud) OAuth App - User Credentials (DEPRECATED) [OAuth] - Optional step. Modify API Base URL if needed (in most cases default will work).
- Fill in all the required parameters and set optional parameters if needed.
- Press Generate Token button to generate the tokens.
- Finally, hit OK button:
AzureDevopsDSNAzure DevOps(Cloud) OAuth App - User Credentials (DEPRECATED) [OAuth]https://dev.azure.comRequired Parameters Client Id (App ID) Fill-in the parameter... Client Secret Fill-in the parameter... Organization name or Id (e.g. mycompany) Fill-in the parameter... Return URL Fill-in the parameter... Scopes (Use .default for App Credentials) 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
Azure DevOps authentication
**DEPRECATED:** Personal Access Tokens are still supported but the new Azure App Credentials auth is recommended for security and automation. To connect to Azure DevOps using a Personal Access Token (PAT), you must first create a valid PAT:- Start by going to https://aex.dev.azure.com and selecting relevant organization on the left.
-
Then copy Organization's host name part (e.g.
acmeinc, if full host name isacmeinc.visualstudio.com), save it to a file, and click it:
-
Next, click User settings icon and then click Personal access tokens:
-
Then click New Token button to create a new personal access token:
-
Continue by...
- naming your token
- selecting the right Organization
- setting token's Expiration date (it's recommended to use
Custom definedoption 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.
-
Now click Copy button and save the newly created token into a file for quick access later:
- Go back to the connector screen, input the token you saved in a previous step into the Personal Access Token (PAT) field.
- Then enter the Organization host name part that you noted recorded in previous step into Organization name or Id for url field.
- Enter the name or Id of the project you want to connect to by default in the Default Project (Choose after above fields) field.
- Select the Security tab.
- Enter
https://auditservice.dev.azure.com,https://almsearch.dev.azure.com,https://analytics.dev.azure.cominto the Additional Trusted Domains field. - Select the Test Connection button at the bottom of the window to verify proper connectivity with your Azure DevOps account.
- Done!
API Connection Manager configuration
Just perform these simple steps to finish authentication configuration:
-
Set Authentication Type to
(Cloud) Personal Access Token (PAT) (DEPRECATED) [Http] - Optional step. Modify API Base URL if needed (in most cases default will work).
- Fill in all the required parameters and set optional parameters if needed.
- Finally, hit OK button:
AzureDevopsDSNAzure DevOps(Cloud) Personal Access Token (PAT) (DEPRECATED) [Http]https://dev.azure.comRequired 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 Default Project Name RetryMode RetryWhenStatusCodeMatch RetryStatusCodeList 429 RetryCountMax 5 RetryMultiplyWaitTime True
Azure DevOps authentication
**DEPRECATED:** On-premises PAT method is legacy; consider Azure App Credentials if your server supports Azure AD apps. To connect to Azure DevOps On-Premises Server using a Personal Access Token (PAT), you must first create a valid PAT:-
Start by navigating to your on-premises Azure DevOps Server URL.
NOTE: The screenshots shown below are from the cloud version, so your interface may look slightly different depending on which on-premises Azure DevOps Server version you’re using — however, the overall concepts and steps are very similar between the cloud and on-premises editions. -
Now open any project and capture Collection Name from the URL. For example if your URL is
https://tfs.mycompany.local/tfs/MyCollection/MyProject/
then your collection name is MyCollection usually after /tfs/. Copy this collection name and later we will enter on Connection UI. -
Next, click User settings icon and then click Personal access tokens:
-
Then click New Token button to create a new personal access token:
-
Continue by...
- naming your token
- selecting the right Organization
- setting token's Expiration date (it's recommended to use
Custom definedoption 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.
-
Now click Copy button and save the newly created token into a file for quick access later:
- Go back to the connector screen, input the token you saved in a previous step into the Personal Access Token (PAT) field.
- Then enter the Organization host name part that you noted recorded in previous step into Organization name or Id for url field.
- Enter the name or Id of the project you want to connect to by default in the Default Project (Choose after above fields) field.
- Select the Security tab.
- Enter
https://auditservice.dev.azure.com,https://almsearch.dev.azure.com,https://analytics.dev.azure.cominto the Additional Trusted Domains field. - Select the Test Connection button at the bottom of the window to verify proper connectivity with your Azure DevOps account.
- Done!
API Connection Manager configuration
Just perform these simple steps to finish authentication configuration:
-
Set Authentication Type to
(On-Premises) Personal Access Token (PAT) (DEPRECATED) [Http] - Optional step. Modify API Base URL if needed (in most cases default will work).
- Fill in all the required parameters and set optional parameters if needed.
- Finally, hit OK button:
AzureDevopsDSNAzure DevOps(On-Premises) Personal Access Token (PAT) (DEPRECATED) [Http]https://dev.azure.comRequired Parameters Personal Access Token (PAT) Fill-in the parameter... Collection name (e.g. MyCollection) Fill-in the parameter... API Version Fill-in the parameter... Optional Parameters AuthScheme Bearer AuthHeader Authorization Default Project Name RetryMode RetryWhenStatusCodeMatch RetryStatusCodeList 429 RetryCountMax 5 RetryMultiplyWaitTime True
-
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 DevOpsRead and write Azure DevOps (Cloud or On-Premises) data effortlessly. Integrate, manage, and automate work items, projects, and teams — almost no coding required.AzureDevopsDSN
-
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 WorkItems
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 datamuch faster . -
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 DevOpsRead and write Azure DevOps (Cloud or On-Premises) data effortlessly. Integrate, manage, and automate work items, projects, and teams — almost no coding required.AzureDevopsDSNSELECT * FROM WorkItems
You can also access data quickly from the tables dropdown by selecting <Select table>.AWHEREclause,LIMITkeyword will be performed on the client side, meaning that thewhole 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). -
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
-
Once you open Power BI Desktop click Get Data to get data from ODBC:
-
A window opens, and then search for "odbc" to get data from ODBC data source:
-
Another window opens and asks to select a Data Source we already created. Choose AzureDevopsDSN and continue:
AzureDevopsDSN
-
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
-
Finally, you will be asked to select a table or view to get data from. Select one and load the data!
-
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.
SELECT * FROM WorkItems
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:
-
Open ODBC data source configuration and click Copy settings:
ZappySys API Driver - Azure DevOpsRead and write Azure DevOps (Cloud or On-Premises) data effortlessly. Integrate, manage, and automate work items, projects, and teams — almost no coding required.AzureDevopsDSN
-
The window opens, telling us the connection string was successfully copied to the clipboard:
-
Then just paste the connection string into your script:
AzureDevopsDSNDRIVER={ZappySys API Driver};ServiceUrl=https://dev.azure.com;Provider=Custom;OAuthVersion=OAuth2;ScopeSeparator={space};GrantType=Default;Scope=[$Scope$];ScopeSeparator={space};
- You are good to go! The script will execute the same way as using a DSN.
Have in mind that a full connection string has length limitations.
Proceed to the next step to find out the details.
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:
- Open your ODBC data source.
- Click Copy settings button to copy a full connection string (see the previous section on how to accomplish that).
- Then create a new file, let's say, in C:\temp\odbc-connection-string.txt.
- Continue by pasting the copied connection string into a newly created file and save it.
-
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 - 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:
-
Firstly, you need to Edit query of your table (see previous section)
-
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.
- First, create a data source in ZappySys Data Gateway and create a Linked Server based on it.
- Once SQL Server Linked Server is configured we are ready to issue a SQL query in Power BI.
- Click Get Data in Power BI, select SQL Server Database
- Enter your server name and any database name
- Select Mode as DirectQuery
-
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 WorkItems')SELECT * FROM OPENQUERY([LS_TO_AZURE_DEVOPS_IN_GATEWAY], 'SELECT * FROM WorkItems')
DirectQuery option for Power BI (Read Azure DevOps Data Example using SQL Server Linked Server and ZappySys Data Gateway) - 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:
-
First of all, go to Power BI Desktop, open a Power BI report, and click Publish button:
-
Then select the Workspace you want to publish report to and hit Select button:
-
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 data 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. You can download On-premises data gateway straight from Microsoft Data Fabric or Power BI web app:
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):
-
Go to Power BI My workspace, hover your mouse cursor on your semantic model and click Settings:
-
If you see this view, it means you have to install On-premises data gateway (standard mode):
-
Install On-premises data gateway (standard mode) and sign-in:
Use the same email address you use when logging in into your account. -
Register a new gateway (or migrate an existing one):
-
If you are creating a new gateway, name your gateway, enter a Recovery key, and click Configure button:
-
Once Microsoft gateway is installed, check if it registered correctly:
-
Go back to Power BI portal
-
Click Gear icon on top-right
-
And then hit Manage connections and gateways menu item
-
-
Continue by clicking On-premises data gateway tab and select Standard mode gateways option from the dropdown:
If your gateway is not listed, the registration may have failed. To resolve this:
- Wait a couple of minutes and refresh Power BI portal page
- Restart the machine where On-premises data gateway is installed
- Check firewall settings
-
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"}
-
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.
-
Proceed by choosing the newly created connection:
ODBC{"connectionstring":"dsn=AzureDevopsDSN"}
-
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):
-
Go to Power BI My workspace, hover your mouse cursor on your semantic model and click Settings:
-
If you see this view, it means you have to install On-premises data gateway (personal mode):
-
Install On-premises data gateway (personal mode) and sign-in:
Use the same email address you use when logging in into your account. -
Once Microsoft gateway is installed, check if it registered correctly:
-
Go back to Power BI portal
-
Click Gear icon on top-right
-
And then hit Manage connections and gateways menu item
-
-
Continue by clicking On-premises data gateway tab and select Personal mode option from the dropdown:
If your gateway is not listed, the registration may have failed. To resolve this:
- Wait a couple of minutes and refresh Power BI portal page
- Restart the machine where On-premises data gateway is installed
- Check firewall settings
-
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
-
Finally, you are ready to refresh your semantic model:
Centralized data access via Data Gateway
In some situations, you may need to provide Azure DevOps data access to multiple users or services. Configuring the data source on a Data Gateway creates a single, centralized connection point for this purpose.
This configuration provides two primary advantages:
-
Centralized data access
The data source is configured once on the gateway, eliminating the need to set it up individually on each user's machine or application. This significantly simplifies the management process.
-
Centralized access control
Since all connections route through the gateway, access can be governed or revoked from a single location for all users.
| Data Gateway |
Local ODBC
data source
|
|
|---|---|---|
| Simple configuration | ||
| Installation | Single machine | Per machine |
| Connectivity | Local and remote | Local only |
| Connections limit | Limited by License | Unlimited |
| Central data access | ||
| Central access control | ||
| More flexible cost |
If you need any of these requirements, you will have to create a data source in Data Gateway to connect to Azure DevOps, and to create an ODBC data source to connect to Data Gateway in Power BI.
Let's not wait and get going!
Creating Azure DevOps data source in Gateway
In this section we will create a data source for Azure DevOps in Data Gateway. Let's follow these steps to accomplish that:
-
Search for
gatewayin Windows Start Menu and open ZappySys Data Gateway Configuration:
-
Go to Users tab and follow these steps to add a Data Gateway user:
- Click Add button
-
In Login field enter username, e.g.,
john - Then enter a Password
- Check Is Administrator checkbox
- Click OK to save
-
Now we are ready to add a data source:
- Click Add button
- Give Datasource a name (have it handy for later)
- Then select Native - ZappySys API Driver
- Finally, click OK
AzureDevopsDSNZappySys API Driver
-
When the ZappySys API Driver configuration window opens, configure the Data Source the same way you configured it in ODBC Data Sources (64-bit), in the beginning of this article.
-
Very important step. Now, after creating or modifying the data source make sure you:
- Click the Save button to persist your changes.
- Hit Yes, once asked if you want to restart the Data Gateway service.
This will ensure all changes are properly applied:
Skipping this step may result in the new settings not taking effect and, therefore you will not be able to connect to the data source.
Creating ODBC data source for Data Gateway
In this part we will create ODBC data source to connect to Data Gateway from Power BI. To achieve that, let's perform these steps:
-
Open ODBC Data Sources (x64):
-
Create a User data source (User DSN) based on ODBC Driver 17 for SQL Server:
ODBC Driver 17 for SQL Server
If you don't see ODBC Driver 17 for SQL Server driver in the list, choose a similar version driver. -
Then set a Name of the data source (e.g.
Gateway) and the address of the Data Gateway:GatewayDSNlocalhost,5000
Make sure you separate the hostname and port with a comma, e.g.localhost,5000. -
Proceed with authentication part:
- Select SQL Server authentication
-
In Login ID field enter the user name you used in Data Gateway, e.g.,
john - Set Password to the one you configured in Data Gateway
-
Then set the default database property to
AzureDevopsDSN(the one we used in Data Gateway):AzureDevopsDSN
-
Continue by checking Trust server certificate option:
-
Once you do that, test the connection:
-
If connection is successful, everything is good:
-
Done!
We are ready to move to the final step. Let's do it!
Accessing data in Power BI via Data Gateway
Finally, we are ready to read data from Azure DevOps in Power BI via Data Gateway. Follow these final steps:
-
Go back to Power BI.
-
Once you open Power BI Desktop click Get Data to get data from ODBC:
-
A window opens, and then search for "odbc" to get data from ODBC data source:
-
Another window opens and asks to select a Data Source we already created. Choose GatewayDSN and continue:
GatewayDSN
-
Read the data the same way we discussed at the beginning of this article.
-
That's it!
Now you can connect to Azure DevOps data in Power BI via the Data Gateway.
john and your password.
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
- Make Generic API Request
- Make Generic API 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.
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