In this post, we will seee how to implement Page Level Security in Power BI. Page Level Security indicates restricting access of few pages in the report with the users. For example, there are multiple pages in the report and User 1 wants to see only single page and User 2 wants to see all the pages. Here's a work around to implement this:

Microsoft provides Power BI Report Builder to design paginated reports within the Power BI ecosystem. Paginated reports can create highly formatted, pixel-perfect reports suitable for printing or sharing as PDFs. With Power BI Report Builder, users can design these reports with precise control over layout, formatting, and data presentation, complementing the interactive and exploratory capabilities of Power BI Desktop.

Power BI Report Builder supports various data sources, allowing users to connect to different data types to create paginated reports. Some of the commonly used data sources include Microsoft SQL Server, Analysis Services, Power BI Datasets, Azure SQL Database, Oracle, Excel, XML, and CSV/Text Files.

In this blog post, our primary emphasis will be on integrating Power BI Datasets within Power BI paginated reports. We will consider one of the use case scenarios where I have a Power BI report that displays an invoice report specific to each user. This report includes numerous calculated columns and measures. To facilitate exporting the report as a PDF, we use paginated reports. Instead of recreating all the columns and measures manually in Power BI Report Builder, we can leverage the functionality of adding a Power BI semantic model.

In this post, we will use Sync slicer with the drill-through feature to dynamically calculate data over a period of time.