Power BI Connector for SSIS

Connect to your Power BI account and retrieve data, refresh datasets, etc.
You can use this connector to integrate Power BI data inside SSIS and SQL Server. Let's take a look at the steps below to see how exactly to accomplish that.

Download Documentation

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

Video Tutorial - Integrate Power BI data in SSIS

This video covers following and more so watch carefully. After watching this video follow the steps described in this article.

  • How to download / install required driver for Power BI integration in SSIS
  • How to configure connection for Power BI
  • Features about API Source (Authentication / Query Language / Examples / Driver UI)
  • Using Power BI Connection in SSIS

Prerequisites

Before we perform steps listed in this article, you will need to make sure following prerequisites are met:
  1. SSIS designer installed. Sometimes it is referred as BIDS or SSDT (download it from Microsoft site).
  2. Basic knowledge of SSIS package development using Microsoft SQL Server Integration Services.
  3. Make sure ZappySys SSIS PowerPack is downloaded and installed (download it). Check Getting started section for more information.
  4. Optional (If you want to Deploy and Schedule ) - Deploy and Schedule SSIS Packages

How to read data from Power BI in SSIS (Export data)

In this section we will learn how to configure and use Power BI Connector in API Source to extract data from Power BI.

  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
    SSIS Project Screen
    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.
    SSIS Data Flow Task - Drag and Drop

  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:
    SSIS API Source (Predefined Templates) - Drag and Drop

  6. Select New Connection to create a new connection:
    API Source - 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
    Power BI Connector Selection

  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]

    OAuth App must be created in Microsoft Azure AD. These settings typically found here https://docs.microsoft.com/en-us/graph/auth-register-app-v2. [API Help..]

    Steps to get Power BI Credentials : User Credentials [OAuth]

    Firstly, login into Azure Portal and there create an OAuth application:

    1. Go to Azure Portal and login there.
    2. Then go to Azure Active Directory.
    3. On the left side click menu item App registrations
    4. Then proceed with clicking New registration.
    5. Enter a name for your application.
    6. Select the account types to support with the Supported account types option.
    7. In Redirect URI, select Web.
    8. In the textbox enter https://zappysys.com/oauth as the Redirect URI or another valid redirect URL.
    9. Use this same Redirect URI in the Redirect URI (must match App Redirect URL) grid row.
    10. Copy Client ID and paste it into the API Connection Manager configuration grid in the Client ID row.
    11. Click on the Endpoints link and copy the OAuth 2.0 authorization endpoint (v2) URL to the Authorization URL grid row. Usually it looks similar to this:
      • https://login.microsoftonline.com/daed1250-xxxx-xxxx-xxxx-ef0a982d3d1e/oauth2/v2.0/authorize
    12. Copy the OAuth 2.0 token endpoint (v2) URL to the Token URL grid row. Usually it looks similar to this:
      • https://login.microsoftonline.com/daed1250-xxxx-xxxx-xxxx-ef0a982d3d1e/oauth2/v2.0/token
    13. Close "Endpoints" popup and create a Client Secret in the Certificates & secrets tab.
    14. Proceed by clicking New client secret and setting expiration period. Copy the client secret and paste it into configuration grid in Client Secret row.
    15. Now lets setup permissions for the app. Click on API Permissions and on the page click Plus Sign Add Permission
    16. Click on Microsoft Graph API and then choose Delegated Permissions
    17. on Permission list page search or choose permissions as needed. We need to enable following Permissions from 2 Sections: Microsoft Graph API and Power BI Service.
    18. Make sure you have checked below permissions (If you do not need Write feature then you can skip Write scopes) 
      offline_access
Dataset.ReadWrite.All
    19. Click Generate Token to generate tokens.
    20. That's it!
    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 Fill in the parameter...
    Redirect URI (must match App Redirect URI) Fill in the parameter...
    Default Workspace (Keep Empty for My Workspace - select after generating tokens) Fill in the parameter...
    RetryMode Fill in the parameter...
    RetryStatusCodeList Fill in the parameter...
    RetryCountMax Fill in the parameter...
    RetryWaitTimeMs Fill in the parameter...
    RetryMultiplyWaitTime Fill in the parameter...
    Login options Fill in the parameter...
    ZappySys OAuth Connection

  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.
    API Source - Select Endpoint

  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)

    Execute Package - Reading data from Power BI and load into target

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

Once you read data from the desired source, now let's see how to Load Power BI data in SQL Server using Upsert Destination. Upsert Destination can Merge/Synchronize data from source to target for Microsoft SQL Server, PostgreSql and Redshift. It supports very fast Bulk Upsert (Update or Insert) operation along and Bulk delete.

  1. From the SSIS toolbox drag and drop Upsert Destination on the dataflow designer surface

  2. Connect our Source component to Upsert Destination

  3. Double click on Upsert Destination component to configure it.

  4. Select the desired Microsoft SQL Server/PostgreSql/Redshift Target Connection or click NEW to create new connection. Select Target Table or click NEW to create new table based on source columns.
    Configure SSIS Upsert Destination Connection - Loading data (REST / SOAP / JSON / XML /CSV) into SQL Server or other target using SSIS
    Configure SSIS Upsert Destination Connection - Loading data (REST / SOAP / JSON / XML /CSV) into SQL Server or other target using SSIS

  5. Set Action to Upsert => (insert if not matching in target else update). Select Target Connection and Target Table. Check on Insert and Update. Click on Map All to Mappings all columns and check on Only Primary Key columns.
    SSIS SQL Upsert option

  6. Click on OK to save Upsert Destination settings UI.

  7. That's it. Run the SSIS Package and it will read the data from the Power BI and load the data in the SQL Server/PostgreSql/Redshift using Upsert Destination.

    Execute Package - Reading data from API Source and load into target

Video Tutorial - Write or lookup data to Power BI using SSIS

This video covers following and more so watch carefully. After watching this video follow the steps described in this article.

  • How to download SSIS PowerPack for Power BI integration in SSIS
  • How to configure connection for Power BI
  • How to Write or lookup data to Power BI
  • Features about SSIS API Destination
  • Using Power BI Connector in SSIS

How to write or lookup data to Power BI in SSIS (Import data)

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.
    SSIS API Destination (Predefined Templates) - Drag and Drop

  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.
    API Destination - New Connection

  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
    Power BI Connector Selection

  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]

    OAuth App must be created in Microsoft Azure AD. These settings typically found here https://docs.microsoft.com/en-us/graph/auth-register-app-v2. [API Help..]

    Steps to get Power BI Credentials : User Credentials [OAuth]

    Firstly, login into Azure Portal and there create an OAuth application:

    1. Go to Azure Portal and login there.
    2. Then go to Azure Active Directory.
    3. On the left side click menu item App registrations
    4. Then proceed with clicking New registration.
    5. Enter a name for your application.
    6. Select the account types to support with the Supported account types option.
    7. In Redirect URI, select Web.
    8. In the textbox enter https://zappysys.com/oauth as the Redirect URI or another valid redirect URL.
    9. Use this same Redirect URI in the Redirect URI (must match App Redirect URL) grid row.
    10. Copy Client ID and paste it into the API Connection Manager configuration grid in the Client ID row.
    11. Click on the Endpoints link and copy the OAuth 2.0 authorization endpoint (v2) URL to the Authorization URL grid row. Usually it looks similar to this:
      • https://login.microsoftonline.com/daed1250-xxxx-xxxx-xxxx-ef0a982d3d1e/oauth2/v2.0/authorize
    12. Copy the OAuth 2.0 token endpoint (v2) URL to the Token URL grid row. Usually it looks similar to this:
      • https://login.microsoftonline.com/daed1250-xxxx-xxxx-xxxx-ef0a982d3d1e/oauth2/v2.0/token
    13. Close "Endpoints" popup and create a Client Secret in the Certificates & secrets tab.
    14. Proceed by clicking New client secret and setting expiration period. Copy the client secret and paste it into configuration grid in Client Secret row.
    15. Now lets setup permissions for the app. Click on API Permissions and on the page click Plus Sign Add Permission
    16. Click on Microsoft Graph API and then choose Delegated Permissions
    17. on Permission list page search or choose permissions as needed. We need to enable following Permissions from 2 Sections: Microsoft Graph API and Power BI Service.
    18. Make sure you have checked below permissions (If you do not need Write feature then you can skip Write scopes) 
      offline_access
Dataset.ReadWrite.All
    19. Click Generate Token to generate tokens.
    20. That's it!
    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 Fill in the parameter...
    Redirect URI (must match App Redirect URI) Fill in the parameter...
    Default Workspace (Keep Empty for My Workspace - select after generating tokens) Fill in the parameter...
    RetryMode Fill in the parameter...
    RetryStatusCodeList Fill in the parameter...
    RetryCountMax Fill in the parameter...
    RetryWaitTimeMs Fill in the parameter...
    RetryMultiplyWaitTime Fill in the parameter...
    Login options Fill in the parameter...
    ZappySys OAuth Connection

  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.
    API Destination - Select Endpoint

  7. Finally, map the desired columns:

    API Destination - Power BI
    Connect to your Power BI account and retrieve data, refresh datasets, etc.
    API Destination - Columns Mapping

  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

    Execute Package - Reading data from API Source and load into target

Advanced topics

Actions supported by Power BI Connector

Power BI Connector support following actions for REST API integration. If some actions are not listed below then you can easily edit Connector file and enhance out of the box functionality.
 Get Workspaces
Get all user's Workspaces.    [Read more...]
 Get a Workspace
Get a Workspace by ID.    [Read more...]
Parameter Description
Id
 Get Datasets
Get Datasets from default or specified Workspace. If WorkspaceId parameter is not supplied, default Workspace will be used.    [Read more...]
Parameter Description
WorkspaceId
 Get a Dataset
Get a Dataset by ID.    [Read more...]
Parameter Description
Id
WorkspaceId
 Create a Push Dataset
Creates a Push Dataset with Tables.    [Read more...]
Parameter Description
Definition JSON describing the created Dataset and its Tables
Option Value
Example { "name": "SalesMarketing", "defaultMode": "Push", "tables": [ { "name": "Product", "columns": [ { "name": "ProductID", "dataType": "Int64" }, { "name": "Name", "dataType": "string" }, { "name": "Category", "dataType": "string" }, { "name": "IsComplete", "dataType": "bool" }, { "name": "ManufacturedOn", "dataType": "DateTime" }, { "name": "Sales", "dataType": "Double", "formatString": "Currency" } ] } ] }
WorkspaceId
Option Value
Default
 Delete a Dataset
Delete a Dataset by ID.    [Read more...]
Parameter Description
Id
WorkspaceId
Option Value
Default
 Refresh a Dataset
Refreshes a Dataset by ID.    [Read more...]
Parameter Description
Id
WorkspaceId
Option Value
Default
 Get Tables
Gets a list of Tables of a Dataset    [Read more...]
Parameter Description
DatasetId
WorkspaceId
Option Value
Default
 Get Table Columns
Gets Columns of a Table    [Read more...]
Parameter Description
TableName
DatasetId
WorkspaceId
Option Value
Default
 Get Table Rows
Reads a Table of a Dataset.    [Read more...]
Parameter Description
TableName
DatasetId
WorkspaceId
Option Value
Default
DaxFilter
Option Value
All Rows true
'Equal to' operator example [Column] = "AnyValue"
'And' operator example [Column1] = "AnyValue1" && [Column2] = "AnyValue2"
'And' and 'Or' operators used together [Column1] = "AnyValue" && ([Column2] = 1234 || [Column3] < 1000)
'IN' operator example [Column] IN { "Value1", "Value2"}
 Insert Rows into Push Dataset Table
Inserts rows into a Push Dataset Table    [Read more...]
Parameter Description
TableName
DatasetId
WorkspaceId
Option Value
Default
 Truncate a Push Dataset Table
Reads a Table of a Dataset.    [Read more...]
Parameter Description
TableName
DatasetId
WorkspaceId
Option Value
Default
 Execute a DAX query
Executes a DAX query on a Dataset in a default or specified Workspace.    [Read more...]
Parameter Description
DAX query Your DAX Query. Examples: EVALUATE FILTER('MyTable',true) --OR-- more complex EVALUATE FILTER(''MyTable'', [SomeNameColumn] = "ZZZ" && ([SomeIdColumn] = 10643 || [SomeIdColumn] = 10952 ) )
DatasetId
WorkspaceId
Option Value
Default
 Generic Request
This is generic endpoint. Use this endpoint when some actions are not implemented by connector. Just enter partial URL (Required), Body, Method, Header etc. Most parameters are optional except URL.    [Read more...]
Parameter Description
Url API URL goes here. You can enter full URL or Partial URL relative to Base URL. If it is full URL then domain name must be part of ServiceURL or part of TrustedDomains
Body Request Body content goes here
IsMultiPart Set this option if you want to upload file(s) (i.e. POST RAW file data) or send data using Multi-Part encoding method (i.e. Content-Type: multipart/form-data). Multi-Part request allows you to mix key/value and upload files in same request. On the other hand raw upload allows only single file upload (without any key/value) ==== Raw Upload (Content-Type: application/octet-stream) ===== To upload single file in raw mode check this option and specify full file path starting with @ sign in the Body (e.g. @c:\data\myfile.zip ) ==== Form-Data / Multipart Upload (Content-Type: multipart/form-data) ===== To treat your Request data as multi part fields you must specify key/value pairs separated by new lines into RequestData field (i.e. Body). Each key value pair is entered on new-line and key/value are separated using equal sign (=). Preceding and trailing spaces are ignored also blank lines are ignored. If field value has some any special character(s) then use escape sequence (e.g. For NewLine: \r\n, For Tab: \t, For at (@): \@). When value of any field starts with at sign (@) its automatically treated as File you want to upload. By default file content type is determined based on extension however you can supply content type manually for any field using this way [ YourFileFieldName.Content-Type=some-content-type ]. By default File Upload Field always includes Content-Type in the request (non file fields do not have content-type by default unless you supply manually). For some reason if you dont want to use Content-Type header in your request then supply blank Content-Type to exclude this header altogather [e.g. SomeFieldName.Content-Type= ]. In below example we have supplied Content-Type for file2 and SomeField1, all other fields are using default content-type. See below Example of uploading multiple files along with additional fields. If some API requires you to pass Content-Type: multipart/form-data rather than multipart/form-data then manually set Request Header => Content-Type: multipart/mixed (it must starts with multipart/ else will be ignored). file1=@c:\data\Myfile1.txt file2=@c:\data\Myfile2.json file2.Content-Type=application/json SomeField1=aaaaaaa SomeField1.Content-Type=text/plain SomeField2=12345 SomeFieldWithNewLineAndTab=This is line1\r\nThis is line2\r\nThis is \ttab \ttab \ttab SomeFieldStartingWithAtSign=\@MyTwitterHandle
Filter Enter filter to extract array from response. Example: $.rows[*] --OR-- $.customers[*].orders[*]. Check your response document and find out hierarchy you like to extract
Headers Headers for Request. To enter multiple headers use double pipe or new line after each {header-name}:{value} pair

Conclusion

In this article we discussed how to connect to Power BI in SSIS and integrate data without any coding. Click here to Download Power BI Connector for SSIS and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).

Download Power BI Connector for SSIS Documentation 

More integrations

Other application integration scenarios for Power BI

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

Other connectors for SSIS

Amazon Ads Connector
Amazon Ads
Amazon MWS Connector
Amazon MWS
Amazon Selling Partner (SP-API) Connector
Amazon Selling Partner (SP-API)
Asana Connector
Asana
Azure DevOps Connector
Azure DevOps
Cosmos DB Connector
Cosmos DB
DropBox Connector
DropBox
ElasticSearch Connector
ElasticSearch
FastSpring Connector
FastSpring
Google BigQuery Connector
Google BigQuery
Google Calendar Connector
Google Calendar
Google Drive Connector
Google Drive
Google Sheets Connector
Google Sheets
Hubspot Connector
Hubspot
Jira Connector
Jira
Mailchimp Connector
Mailchimp
ManagedEngine ServiceDesk Plus (Zoho) Connector
ManagedEngine ServiceDesk Plus (Zoho)
Nativo Connector
Nativo
OData Connector
OData
OneDrive Connector
OneDrive
Outlook Mail (Office 365) Connector
Outlook Mail (Office 365)
Power BI Connector
Power BI
ServiceNow Connector
ServiceNow
SharePoint Online Connector
SharePoint Online
Shopify Connector
Shopify
Smartsheet Connector
Smartsheet
Stripe Connector
Stripe
YouTube Connector
YouTube
Zendesk Connector
Zendesk
Zoho CRM Connector
Zoho CRM
Zoho SalesIQ Connector
Zoho SalesIQ
Zoom Connector
Zoom
REST API Connector
REST API
JSON Connector
JSON
JSON File Connector
JSON File
XML Connector
XML
SOAP Connector
SOAP
XML File Connector
XML File
JDBC-ODBC Bridge Connector
JDBC-ODBC Bridge
Salesforce Connector
Salesforce
CSV Connector
CSV
Amazon S3 JSON File Connector
Amazon S3 JSON File
Amazon S3 XML File Connector
Amazon S3 XML File
Amazon S3 CSV File Connector
Amazon S3 CSV File
Azure Blob JSON File Connector
Azure Blob JSON File
Azure Blob XML File Connector
Azure Blob XML File
Azure Blob CSV File Connector
Azure Blob CSV File
FTP/SFTP JSON File Connector
FTP/SFTP JSON File
FTP/SFTP XML File Connector
FTP/SFTP XML File
FTP/SFTP CSV File Connector
FTP/SFTP CSV File
Custom Connector
Build your own Custom API Connector


Download Power BI Connector for SSIS Documentation

  • How to connect Power BI in SSIS?

  • How to get Power BI data in SSIS?

  • How to read Power BI data in SSIS?

  • How to load Power BI data in SSIS?

  • How to import Power BI data in SSIS?

  • How to pull Power BI data in SSIS?

  • How to push data to Power BI in SSIS?

  • How to write data to Power BI in SSIS?

  • How to POST data to Power BI in SSIS?

  • Call Power BI API in SSIS

  • Consume Power BI API in SSIS

  • Power BI SSIS Automate

  • Power BI SSIS Integration

  • Integration Power BI in SSIS

  • Consume real-time Power BI data in SSIS

  • Consume real-time Power BI API data in SSIS

  • Power BI ODBC Driver | ODBC Driver for Power BI | ODBC Power BI Driver | SSIS Power BI Source | SSIS Power BI Destination

  • Connect Power BI in SSIS

  • Load Power BI in SSIS

  • Load Power BI data in SSIS

  • Read Power BI data in SSIS

  • Power BI API Call in SSIS