Parcifal Van Gucht

Since the announcement of the enhanced Power BI Report format (PBIR), developers have been eager to maximize its potential. This new format organizes visuals, pages, and bookmarks into individual JSON files within a structured folder system. Traditional Power BI Report development involves meticulous manual work, precision, and validation to ensure accuracy and visual appeal for report consumers. But what if we could combine these efforts with automation, maintaining precision and validation while enhancing visual appeal? In this session, you will learn how to: *Create a visual dictionary to make data visualization best practices reusable. *Utilize a visual dictionary to update an existing Power BI report. *Automate the enforcement of a visual dictionary on existing reports. *Automatically create a new report using a visual dictionary. As a collaborative team of a data visualization expert (Justine) and a data engineer (Parcifal), we bring a unique perspective to this session, highlighting the synergy between these disciplines in building successful Power BI Reports. Our goal is to first familiarize you with the capabilities of data visualization best practices. Then, we'll demonstrate how these practices integrate with the new enhanced Power BI report format. Finally, you'll learn how to implement these techniques in your daily work.

Power BI CI/CD is here! The combination of Power BI Projects (PBIP), Tabular Model Definition Language (TMDL) and the Fabric Git Integration have enabled advanced collaboration and versioning for Power BI in all our developments. How do we now incorporate these separate features into our daily practice, how can you create a basic setup and which considerations do you need to make when implementing it for your organization? The session focusses on the building and decision-taking that go hand in hand with defining and developing your collaboration strategy and how this compares to the building of a house. Each house starts at the foundations, for your Power BI CI/CD setup this is no different. Azure DevOps, your local Power BI Desktop and the Power BI workspace form the building blocks for your Power BI collaboration strategy. However, without a good plan the building blocks are nothing more than mere resources. Therefore, we will be looking at how these tools come together to form the foundations of your Power BI CI/CD setup. An end-to-end demo will show you how you can go from your trusted local Power BI Desktop to the Power BI Workspace and on the way make use of Azure DevOps to improve your versioning, incorporate automated best practices checks and enable collaboration between your team members (without merge conflicts). Lastly, I want to share different considerations you need to take into account when starting on the actual build of your collaboration strategy and setup. These practical considerations revolve around differential development lifecycles, restricted permissions, selective deployments and new possibilities for advanced Power BI automation.