Tuesday, February 27, 2024

What the key functions of Performance Analyzer in Power BI. How to use Performance analyzer

The Performance Analyzer in Power BI is a powerful tool that helps you analyze and optimize the performance of your reports and dashboards. Here are some key functions and steps on how to use it:

Key Functions:

  1. Identifying Bottlenecks: The Performance Analyzer allows you to identify specific visuals or DAX expressions that might be causing performance issues in your report.

  2. Measuring Load Times: You can measure the time it takes for visuals to load and render on the report canvas, helping you pinpoint areas for optimization.

  3. Understanding Query Performance: It provides insights into the performance of underlying data queries, including query execution time and data retrieval times from the data source.

  4. Comparing Performance Across Pages or Visuals: You can compare the performance of different pages or visuals within your report to identify areas where performance improvements can be made.

How to Use Performance Analyzer:

  1. Open Performance Analyzer: To use the Performance Analyzer, open your Power BI report in Editing View, then navigate to the "View" tab on the ribbon menu. Click on "Performance Analyzer" in the "Show" group to open the Performance Analyzer pane.

  2. Start Recording: Click on the "Start Recording" button in the Performance Analyzer pane to begin recording performance data.

  3. Interact with Report: Interact with your report by interacting with visuals, applying filters, or navigating between pages. Each action you perform will be recorded in the Performance Analyzer.

  4. Stop Recording: Once you've performed the actions you want to analyze, click on the "Stop Recording" button in the Performance Analyzer pane to stop recording performance data.

  5. Review Performance Data: After stopping recording, you'll see a list of actions performed along with corresponding performance metrics such as load time, query time, and data size. You can expand each action to see detailed performance data.

  6. Analyze Performance: Analyze the performance data to identify any bottlenecks or areas for optimization. Look for visuals or DAX expressions with long load times or high query times.

  7. Optimize: Based on the insights gained from the Performance Analyzer, you can optimize your report by optimizing visuals, optimizing DAX expressions, or optimizing data queries.

  8. Repeat Analysis: You can repeat the process of using the Performance Analyzer to continuously monitor and optimize the performance of your report as you make changes.

By using the Performance Analyzer in Power BI, you can gain valuable insights into the performance of your reports and take steps to optimize them for better performance.

No comments:

Post a Comment