One approach is to leverage Power BI's DirectQuery mode, which allows you to connect to the data source directly and retrieve the data on the fly. This eliminates the need to import the entire dataset into Power BI and allows for real-time analysis.

Another option is to use Power BI's data compression feature. This feature reduces the size of the dataset in memory, making it more efficient to work with large datasets. Additionally, you can consider partitioning your dataset into smaller chunks to optimize performance.

You can also take advantage of Power BI's ability to connect to external data sources or use data modeling techniques like aggregations and calculated tables to reduce the dataset size while still maintaining the necessary level of detail for analysis.

Lastly, consider using Power BI Paginated Reports, which are designed for highly formatted, printable reports. These reports can handle large datasets efficiently and provide a way to present data that doesn't fit well within traditional Power BI reports.