<p dir="ltr" style="line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;">

<p dir="ltr" style="line-height: 1.38; margin-top: 12pt; margin-bottom: 12pt;">[size= 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap]Performance optimization in Power BI requires careful data modeling and DAX formula design, but certain limitations make this process challenging. Large datasets, complex relationships, and inefficient measures can slow down report performance. Power BI developer often use techniques like aggregations, reducing visuals, or simplifying data models, but these may compromise reporting detail. Additionally, Power BI&rsquo;s dependency on system resources can create performance bottlenecks, especially on less powerful devices. Developers must balance performance with functionality, regularly iterating on reports and collaborating with IT teams to optimize data sources and infrastructure, adding to the workload and project timelines.[/size]