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Accessing Azure with Power BI
Hello Is it possible to access the Azure Data through Power BI. I need data from Azure to make a report. How can this be done. Regards JFM_12
Hi JFM_12,
thanks for the update.To retrieve the User Principal Name (UPN) and Company Name from Azure, you can leverage Azure AD PowerShell commands. Here is an example:
Get-AzureADUser -All $true | Select-Object -Property UserPrincipalName, CompanyNameThis PowerShell command fetches the UPN and Company Name for all users within Azure AD.
Subsequently, you can import this data into Power BI for your reporting needs.
As for the Direct Query, it’s not necessary but can be beneficial if you want real-time data in your reports.
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Kindest regards,
Leon Pavesic
(LinkedIn)
Yes, it is possible to access Azure data through Power BI to create reports. Power BI provides several connectors and methods to integrate with various Azure services, allowing you to pull in data and create insightful reports. Here's a step-by-step guide on how to connect to different Azure data sources from Power BI:
1. Connect to Azure SQL Database
Open Power BI Desktop.
Click on "Get Data" from the Home ribbon.
Select "Azure" from the left pane and then choose "Azure SQL Database".
Click "Connect".
Enter the server and database details along with your authentication method (Windows or SQL Server authentication).
Click "OK" to connect and load data.
2. Connect to Azure Data Lake Storage
Open Power BI Desktop.
Click on "Get Data" from the Home ribbon.
Select "Azure" from the left pane and then choose "Azure Data Lake Storage".
Click "Connect".
Enter the URL of your Azure Data Lake Storage account.
Authenticate using your organizational account.
Select the file or folder you want to connect to and load data.
3. Connect to Azure Blob Storage
Open Power BI Desktop.
Click on "Get Data" from the Home ribbon.
Select "Azure" from the left pane and then choose "Azure Blob Storage".
Click "Connect".
Enter the URL of your Azure Blob Storage account.
Authenticate using your account.
Select the file or folder you want to connect to and load data.
4. Connect to Azure Analysis Services
Open Power BI Desktop.
Click on "Get Data" from the Home ribbon.
Select "Azure" from the left pane and then choose "Azure Analysis Services".
Click "Connect".
Enter the server name and authentication method.
Select the database and model you want to connect to.
Load the data into Power BI.
5. Connect to Azure Synapse Analytics (formerly SQL Data Warehouse)
Open Power BI Desktop.
Click on "Get Data" from the Home ribbon.
Select "Azure" from the left pane and then choose "Azure Synapse Analytics".
Click "Connect".
Enter the server and database details along with your authentication method.
Click "OK" to connect and load data.
6. Use Azure Data Factory with Power BI
You can also use Azure Data Factory to orchestrate data movement and preparation, and then connect Power BI to the data stored in your Azure data warehouse or lake.
In Azure Data Factory, create a pipeline to extract, transform, and load (ETL) your data into an Azure SQL Database, Azure Data Lake, or other suitable Azure storage.
Connect Power BI to the output data storage as described in the steps above.
Tips for Effective Reporting
Ensure Data Refresh: Set up data refresh in Power BI to keep your reports up-to-date. You can configure this in Power BI Service.
Optimize Queries: Use query folding where possible to push data transformations to the data source, reducing load times and improving performance.
Secure Data: Use Row-Level Security (RLS) in Power BI to ensure that users only see the data they are authorized to view.
By following these steps, you can effectively pull data from various Azure sources into Power BI and create comprehensive reports.
1. Connect to Azure SQL Database
Open Power BI Desktop.
Click on "Get Data" from the Home ribbon.
Select "Azure" from the left pane and then choose "Azure SQL Database".
Click "Connect".
Enter the server and database details along with your authentication method (Windows or SQL Server authentication).
Click "OK" to connect and load data.
2. Connect to Azure Data Lake Storage
Open Power BI Desktop.
Click on "Get Data" from the Home ribbon.
Select "Azure" from the left pane and then choose "Azure Data Lake Storage".
Click "Connect".
Enter the URL of your Azure Data Lake Storage account.
Authenticate using your organizational account.
Select the file or folder you want to connect to and load data.
3. Connect to Azure Blob Storage
Open Power BI Desktop.
Click on "Get Data" from the Home ribbon.
Select "Azure" from the left pane and then choose "Azure Blob Storage".
Click "Connect".
Enter the URL of your Azure Blob Storage account.
Authenticate using your account.
Select the file or folder you want to connect to and load data.
4. Connect to Azure Analysis Services
Open Power BI Desktop.
Click on "Get Data" from the Home ribbon.
Select "Azure" from the left pane and then choose "Azure Analysis Services".
Click "Connect".
Enter the server name and authentication method.
Select the database and model you want to connect to.
Load the data into Power BI.
5. Connect to Azure Synapse Analytics (formerly SQL Data Warehouse)
Open Power BI Desktop.
Click on "Get Data" from the Home ribbon.
Select "Azure" from the left pane and then choose "Azure Synapse Analytics".
Click "Connect".
Enter the server and database details along with your authentication method.
Click "OK" to connect and load data.
6. Use Azure Data Factory with Power BI
You can also use Azure Data Factory to orchestrate data movement and preparation, and then connect Power BI to the data stored in your Azure data warehouse or lake.
In Azure Data Factory, create a pipeline to extract, transform, and load (ETL) your data into an Azure SQL Database, Azure Data Lake, or other suitable Azure storage.
Connect Power BI to the output data storage as described in the steps above.
Tips for Effective Reporting
Ensure Data Refresh: Set up data refresh in Power BI to keep your reports up-to-date. You can configure this in Power BI Service.
Optimize Queries: Use query folding where possible to push data transformations to the data source, reducing load times and improving performance.
Secure Data: Use Row-Level Security (RLS) in Power BI to ensure that users only see the data they are authorized to view.
By following these steps, you can effectively pull data from various Azure sources into Power BI and create comprehensive reports.
