Guest
Guest
Jan 07, 2025
4:46 AM
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Handling large datasets in Power BI is challenging due to memory constraints and dataset size caps (1 GB for Pro and higher limits in Premium). Power BI development company must optimize data models, reducing columns, aggregating data, and using incremental refreshes to improve performance. However, these methods can compromise data granularity, impacting report detail. DirectQuery mode, often used for large datasets, can cause slow query responses and limit the use of complex DAX measures. Balancing performance, scalability, and functionality for clients with massive data requirements is an ongoing struggle, often requiring significant time and expertise.
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