Imagine you’re driving on a highway during rush hour. The traffic is heavy, and everyone is moving slowly. Now, imagine the highway as your Power BI Premium Capacity, and the cars as the data requests and activities within Power BI.
Here’s how throttling or Performance Smoothing works:
- Highway Capacity Analogy: Think of the highway as your Power BI Premium Capacity. It has a certain capacity or bandwidth to handle the flow of traffic (data requests and activities).
- Throttling – Traffic Control Measures: During rush hour, traffic control measures may be in place to manage the flow and prevent congestion. Throttling in Power BI is like these traffic control measures. It’s a mechanism to regulate and control the flow of data requests within the Power BI service.
- Example – Data Requests as Cars: Each car on the highway represents a data request or activity in Power BI. Throttling ensures that too many data requests (cars) don’t flood the system at once, preventing congestion and maintaining a smooth flow of information.
- Limits to Prevent Overload: Throttling imposes limits on the number of data requests or activities that can be processed within a specific timeframe. It’s like having a speed limit on the highway to prevent accidents and ensure the safety of everyone on the road.
- Balancing Act: Throttling is a balancing act to ensure that the Power BI Premium Capacity doesn’t get overloaded. It helps maintain a consistent and reliable performance for all users, even during peak times.
In summary:
- Highway Capacity (Power BI Premium Capacity): Represents the bandwidth or capacity of your Power BI Premium service.
- Throttling (Traffic Control Measures): Is like traffic control measures to regulate and manage the flow of data requests within Power BI.
- Data Requests as Cars: Each data request is like a car on the highway, and throttling ensures a controlled flow to prevent congestion.
- Limits to Prevent Overload: Throttling imposes limits to prevent the system from being overloaded, similar to having speed limits on a highway.
So, in Power BI, throttling is like traffic control measures to maintain a smooth flow of data requests and activities within the service, preventing overload and ensuring a reliable user experience.