Power BI is known for its intuitive drag-and-drop interface—but under the hood lies a powerful, often underutilized engine: the Power BI REST API. This session is for developers, analysts, and automation architects ready to go beyond the UI and unlock the full potential of Power BI through code and low-code automation.
We’ll explore how to use Python and Power Automate to interact directly with the REST API, enabling:
- Advanced automation of report and dataset management
- Real-time data updates to streaming dashboards
- Seamless integration with external systems and workflows

What You’ll Learn:

- How to use Python to clone reports, refresh datasets, and push data to streaming dashboards
- How to build Power Automate flows that start/stop capacities, trigger alerts, and interact with semantic models
- How to combine both tools for powerful hybrid solutions

Real-World Use Cases:
- Real-time monitoring: Python summarizes SQL Server data every minute and updates a streaming dataset
- Automated incident response: Power BI triggers a flow that alerts Teams, creates a Jira ticket, and logs to SharePoint
- Sales performance alerts: A drop in sales triggers CRM updates and manager notifications

Whether you're coding in Python or building flows in Power Automate, this session will show you how to elevate your Power BI solutions with automation.

Power BI development often happens through intuitive UIs—but behind the scenes, there's a powerful tool many overlook: the Power BI REST API. In this session, we’ll explore how both Python (code) and Power Automate (low-code) can be used to interact directly with this API, enabling advanced automation, real-time data updates, and seamless integration across platforms.