New ‘ExecutionMetrics’ event in Azure Log Analytics for Power BI Semantic Models
The Power BI integration with Azure Log Analytics just got better with the introduction of a new event - 'ExecutionMetrics'. Customers can now get more detailed insights into their semantic model activities. This addition is a useful enhancement that allows users to optimize the performance of Power BI by tracking activity metrics. By better understanding these metrics, users can identify performance gaps and take action to improve the performance of their semantic models.
The new 'ExecutionMetrics' event is a welcomed addition that improves the ability of Power BI users to obtain deeper insights into their semantic model activities, making it easier to identify and solve issues before they become major problems. With this new feature, data professionals can streamline their workflows, optimize their data pipelines, and deliver actionable insights to stakeholders, all with the help of Azure Log Analytics and Power BI.
Overall, the introduction of 'ExecutionMetrics' in Azure Log Analytics for Power BI Semantic Models is a significant step forward, improving the platform's capabilities and empowering users to gain more control over their data workflows.
The post New 'ExecutionMetrics' event in Azure Log Analytics for Power BI Semantic Models originally appeared on Power BI Blog.
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