Power BI Connector for SSIS Connect to your Power BI account and retrieve data, refresh datasets, etc. In this article you will learn how to quickly and efficiently integrate Power BI data in SSIS without coding. We will use high-performance Power BI Connector to easily connect to Power BI and then access the data inside SSIS. Let's follow the steps below to see how we can accomplish that! Download Documentation Power BI Connector for SSIS is based on ZappySys API Connector Framework which is a part of SSIS PowerPack. It is a collection of high-performance SSIS connectors that enable you to integrate data with virtually any data provider supported by SSIS, including SQL Server. SSIS PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few (if you are new to SSIS and SSIS PowerPack, find out more on how to use them).

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

Video Tutorial - Integrate Power BI data in SSIS

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 Power BI integration in SSIS
• How to configure the connection for Power BI
• Features of the ZappySys API Source (Authentication / Query Language / Examples / Driver UI)
• How to use the Power BI in SSIS

Prerequisites

Before we begin, make sure the following prerequisites are met:

1. SSIS designer installed. Sometimes it is referred as BIDS or SSDT (download it from Microsoft).
2. Basic knowledge of SSIS package development using Microsoft SQL Server Integration Services.
3. SSIS PowerPack is installed (if you are new to SSIS PowerPack, then get started!).

Read data from Power BI in SSIS (Export data)

1. Begin with opening Visual Studio and Create a New Project.

2. Select Integration Service Project and in new project window set the appropriate name and location for project. And click OK.

3. In the new SSIS project screen you will find the following:

   1. SSIS ToolBox on left side bar
   2. Solution Explorer and Property Window on right bar
   3. Control flow, data flow, event Handlers, Package Explorer in tab windows
   4. Connection Manager Window in the bottom
   
   Note: If you don't see ZappySys SSIS PowerPack Task or Components in SSIS Toolbox, please refer to this help link.

4. Now, Drag and Drop SSIS Data Flow Task from SSIS Toolbox. Double click on the Data Flow Task to see Data Flow designer.

   

5. From the SSIS toolbox drag and API Source (Predefined Templates) on the data flow designer surface, and double click on it to edit it:
   

6. Select New Connection to create a new connection:
   

7. Use a preinstalled Power BI Connector from Popular Connector List or press Search Online radio button to download Power BI Connector. Once downloaded simply use it in the configuration:
   

   Power BI

   

8. Proceed with selecting the desired Authentication Type. Then select API Base URL (in most cases default one is the right one). Finally, fill in all the required parameters and set optional parameters if needed. You may press a link Steps to Configure which will help set certain parameters. More info is available in Authentication section.

    User Credentials [OAuth]

   Use delegated access (User Credentials) whenever you want to let a signed-in user work with their own resources or resources they can access. Whether it's an admin setting up policies for their entire organization or a user deleting an email in their inbox, all scenarios involving user actions should use delegated access. [API reference]

   Steps how to get and use Power BI credentials : User Credentials [OAuth]
   

   Follow these simple steps below to create Microsoft Entra ID application with delegated access:

   WARNING: If you are planning to automate processes, we recommend that you use a Application Credentials authentication method. In case, you still need to use User Credentials, then 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.

   1. Navigate to the Azure Portal and log in using your credentials.
   2. Access Microsoft Entra ID.

   3. 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.

   4. 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.
      • Redirect URI:
        • Set the type to Public client/native (mobile & desktop).
        • Use https://zappysys.com/oauth as the URL.
      

   5. After registering the app, copy the Application (client) ID for later:

      

   6. Copy OAuth authorization endpoint (v2) & OAuth token endpoint (v2) URLs to use later in the configuration:

      

   7. 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.:
        • offline_access
        • https://analysis.windows.net/powerbi/api/Workspace.Read.All
        • https://analysis.windows.net/powerbi/api/Dataset.Read.All
        • https://analysis.windows.net/powerbi/api/Dataset.ReadWrite.All
   8. Press Generate Token button to generate Access and Refresh Tokens.
   9. Click Test Connection to confirm the connection is working.
   10. Optional step. Choose Default Workspace from the drop down menu.
   11. Choose Default Dataset from the drop down menu.
   12. Done! Now you are ready to use the API Connector!

   
   Configuring authentication parameters
   

   Power BI

   User Credentials [OAuth]

   https://api.powerbi.com/v1.0/myorg

   Required Parameters
   Authorization URL	Fill-in the parameter...
   Token URL	Fill-in the parameter...
   Client ID	Fill-in the parameter...
   Scope	Fill-in the parameter...
   Default Dataset (select after generating tokens)	Fill-in the parameter...
   Optional Parameters
   Client Secret
   Redirect URI (must match App Redirect URI)
   Default Workspace (Keep Empty for My Workspace - select after generating tokens)
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	429|503
   RetryCountMax	20
   RetryWaitTimeMs	1000
   RetryMultiplyWaitTime	True
   Login options

   

9. Select the desired endpoint, change/pass the properties values, and click on Preview Data button to make the API call.

   API Source - Power BI

   Connect to your Power BI account and retrieve data, refresh datasets, etc.

   

10. That's it! We are done! Just in a few clicks we configured the call to Power BI using Power BI Connector.

    You can load the source data into your desired destination using the Upsert Destination, which supports SQL Server, PostgreSQL, and Amazon Redshift. We also offer other destinations such as CSV, Excel, Azure Table, Salesforce, and more. You can check out our SSIS PowerPack Tasks and components for more options. (*loaded in Trash Destination)

    

Write data to Power BI using SSIS (Import data)

Step-by-step instructions

In upper section we learned how to read data, now in this section we will learn how to configure Power BI in the API Source to POST data to the Power BI.

1. Read the data from the source, being any desired source component. In example we will use ZappySys Dummy Data Source component.

2. From the SSIS Toolbox drag and drop API Destination (Predefined Templates) on the Data Flow Designer surface and connect source component with it, and double click to edit it.
   

3. Select New Connection to create a new connection:
   

   API Destination - Power BI

   Connect to your Power BI account and retrieve data, refresh datasets, etc.

   

4. Use a preinstalled Power BI Connector from Popular Connector List or press Search Online radio button to download Power BI Connector. Once downloaded simply use it in the configuration:
   

   Power BI

   

5. Proceed with selecting the desired Authentication Type. Then select API Base URL (in most cases default one is the right one). Finally, fill in all the required parameters and set optional parameters if needed. You may press a link Steps to Configure which will help set certain parameters. More info is available in Authentication section.

    User Credentials [OAuth]

   Use delegated access (User Credentials) whenever you want to let a signed-in user work with their own resources or resources they can access. Whether it's an admin setting up policies for their entire organization or a user deleting an email in their inbox, all scenarios involving user actions should use delegated access. [API reference]

   Steps how to get and use Power BI credentials : User Credentials [OAuth]
   

   Follow these simple steps below to create Microsoft Entra ID application with delegated access:

   WARNING: If you are planning to automate processes, we recommend that you use a Application Credentials authentication method. In case, you still need to use User Credentials, then 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.

   1. Navigate to the Azure Portal and log in using your credentials.
   2. Access Microsoft Entra ID.

   3. 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.

   4. 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.
      • Redirect URI:
        • Set the type to Public client/native (mobile & desktop).
        • Use https://zappysys.com/oauth as the URL.
      

   5. After registering the app, copy the Application (client) ID for later:

      

   6. Copy OAuth authorization endpoint (v2) & OAuth token endpoint (v2) URLs to use later in the configuration:

      

   7. 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.:
        • offline_access
        • https://analysis.windows.net/powerbi/api/Workspace.Read.All
        • https://analysis.windows.net/powerbi/api/Dataset.Read.All
        • https://analysis.windows.net/powerbi/api/Dataset.ReadWrite.All
   8. Press Generate Token button to generate Access and Refresh Tokens.
   9. Click Test Connection to confirm the connection is working.
   10. Optional step. Choose Default Workspace from the drop down menu.
   11. Choose Default Dataset from the drop down menu.
   12. Done! Now you are ready to use the API Connector!

   
   Configuring authentication parameters
   

   Power BI

   User Credentials [OAuth]

   https://api.powerbi.com/v1.0/myorg

   Required Parameters
   Authorization URL	Fill-in the parameter...
   Token URL	Fill-in the parameter...
   Client ID	Fill-in the parameter...
   Scope	Fill-in the parameter...
   Default Dataset (select after generating tokens)	Fill-in the parameter...
   Optional Parameters
   Client Secret
   Redirect URI (must match App Redirect URI)
   Default Workspace (Keep Empty for My Workspace - select after generating tokens)
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	429|503
   RetryCountMax	20
   RetryWaitTimeMs	1000
   RetryMultiplyWaitTime	True
   Login options

   

6. Select the desired endpoint, change/pass the properties values, and go to the Mappings tab to map the columns.

   API Destination - Power BI

   Connect to your Power BI account and retrieve data, refresh datasets, etc.

   

7. Finally, map the desired columns:

   API Destination - Power BI

   Connect to your Power BI account and retrieve data, refresh datasets, etc.

   

8. That's it; we successfully configured the POST API Call. In a few clicks we configured the Power BI API call using ZappySys Power BI Connector

   

Load Power BI data into SQL Server using Upsert Destination (Insert or Update)

Once you configured the data source, you can load Power BI data into SQL Server using Upsert Destination.

Upsert Destination can merge or synchronize source data with the target table. It supports Microsoft SQL Server, PostgreSQL, and Redshift databases as targets. Upsert Destination also supports very fast bulk upsert operation along with bulk delete.

1. From the SSIS Toolbox drag-and-drop Upsert Destination component onto the Data Flow designer background.

2. Connect your SSIS source component to Upsert Destination.

3. Double-click on Upsert Destination component to open configuration window.

4. Start by selecting the Action from the list.

5. Next, select the desired target connection or create one by clicking <New [provider] Connection> menu item from the Target Connection dropdown.

6. Then select a table from the Target Table list or click New button to create a new table based on the source columns.

7. Continue by checking Insert and Update options according to your scenario (e.g. if Update option is unchecked, no updates will be made).

8. Finally, click Map All button to map all columns and then select the Key columns to match the columns on:

   

9. Click OK to save the configuration.

10. Run the package and Power BI data will be merged with the target table in SQL Server, PostgreSQL, or Redshift:

    

11. Done!

Deploy and schedule SSIS package

After you are done creating SSIS package, most likely, you want to deploy it to SQL Server Catalog and run it periodically. Just follow the instructions in this article:

• How to design, debug, deploy, schedule SSIS Package (In SQL Agent and Catalog)

Running SSIS package in Azure Data Factory (ADF)

To use SSIS PowerPack in ADF, you must first prepare Azure-SSIS Integration Runtime. Follow this link for detailed instructions:

• Preparing ADF instance to use SSIS PowerPack

Actions supported by Power BI Connector

Power BI Connector supports following actions for REST API integration:

Conclusion

In this article we showed you how to connect to Power BI in SSIS and integrate data without any coding, saving you time and effort.

We encourage you to download Power BI Connector for SSIS 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 Power BI Connector for SSIS Documentation

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