Assign the kernel codes to the database model as follows: the first one is completely embedded with Power BI reports but does not use the Azure SQL Server for the database backend. There are many sources of data that Power BI can connect to, so their emerging functionality does not mean being tied to the Azure SQL Server backend. You can utilize the following other database systems: SQL Server on-premises, MySQL, PostgreSQL, Oracle, or otherwise, by using cloud data sources, such as Amazon Redshift or Google BigQuery. In addition to these, Power BI reports may be connected to Excel, CSV, or API files.
To embed Power BI reports without using Azure SQL Server, you need the Power BI's REST API or Power BI Embedded service. These are the broad steps:
Select the data source: The data for the reports must be stored in one of the sources Power BI can work with, such as on-site databases or a cloud-based alternative.
Configure the Power BI Service: To publish your report on the Power BI Service, you will need either a Power BI Pro license to publish or a Power BI Premium license to share within the organization.
Set up embedding: Generate an embed token and embed the report through the Power BI REST API or Power BI Embedded (which is via Azure). This works independently of whether or not the database is Azure SQL Server.
Securing the connection ensures secure connections between end-users and the data source, such as on-premises data gateways for databases hosted externally to the cloud or APIs using OAuth.
Well, Power BI Embedded does require an Azure subscription in order to house the embedded reports, though the database maintaining your data may be of any compatible system. Please take note of the licensing requirements, as it may need a Power BI Premium or Power BI Embedded capacity, depending on your setup.
