<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]<span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Multi-source integration in Power BI involves connecting disparate datasets from various platforms, such as SQL databases, Excel files, and cloud storage. [/size]</span></span>[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]<span style="vertical-align: inherit;"><span style="vertical-align: inherit;">Power BI development[/size]</span></span>[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]<span style="vertical-align: inherit;"><span style="vertical-align: inherit;"> use Power Query to merge and transform data into a unified format, creating relationships between datasets in Power BI's data model. Key strategies include schema alignment, establishing clear data hierarchies, and implementing incremental refresh policies to handle large datasets efficiently. The result is a centralized data hub where users can visualize and analyze information across multiple sources, fostering data-driven decision-making.[/size]</span></span>