How does Power BI handle large data sets?
Power BI development handles large data sets efficiently using techniques like DirectQuery and incremental refresh. DirectQuery allows real-time data access from large databases without storing the data in Power BI, which minimizes memory consumption. Incremental refresh allows only newly added or modified data to be refreshed, speeding up data processing for massive datasets. Power BI developers also employ optimization strategies such as data aggregation, limiting the number of columns, and using indexes to improve query performance. These features ensure that even with vast datasets, Power BI remains responsive and scalable.
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