In my project, we used Power BI's data connectors to bring together data from various sources including on-premises databases, cloud platforms, and web services. We then built a data model that allowed us to perform cross-source queries and create interactive reports and dashboards. This integration helped us gain a holistic view of our business operations and make data-driven decisions.

One way we utilized Power BI for data integration was by leveraging its extensive set of connectors to bring in data from different cloud-based platforms such as Salesforce, Google Analytics, and Azure SQL Database. By using Power BI's query editor and transformation capabilities, we were able to transform and merge the data into a unified dataset, enabling us to visualize key metrics and identify trends across multiple sources.

I've found that Power BI's DirectQuery feature is extremely valuable for integrating data from multiple sources. Instead of importing the data into Power BI, DirectQuery allows us to create a live connection to the source systems. This way, we can perform real-time analysis and reporting, ensuring that our dashboards always reflect the most up-to-date information from various data sources.