<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]While Power BI supports real-time data through streaming datasets and DirectQuery, these methods have constraints. Streaming datasets lack advanced visuals, and DirectQuery can be slower for complex queries as it depends on the underlying database's performance. Refresh intervals for non-premium accounts are capped at eight daily schedules, which may not suffice for real-time analytics in some industries. Such limitations require additional investments in infrastructure, like Azure Stream Analytics, or custom solutions. This makes real-time analytics in [/size][size= 11pt; font-family: Arial,sans-serif; color: #1155cc; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap]Power BI development services[/size][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] less straightforward for businesses with high-frequency data needs.[/size]