What are some best practices for optimizing performance in Power BI?
Leveraging aggregations and summary tables can speed up query performance, especially when dealing with large datasets.
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Another best practice is to limit the number of visuals on a single page and reduce the complexity of visuals by avoiding unnecessary color formatting or excessive text.
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It's also important to properly manage relationships between tables, ensuring they are configured as efficiently as possible to improve query performance.
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Optimizing data models by removing unnecessary columns, reducing the size of tables, and using appropriate data types can significantly enhance performance.
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Consider using incremental loading techniques to load only new or modified data, rather than reloading the entire dataset every time, which can save processing time.
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Lastly, regularly monitoring and refreshing data connections to ensure data is up to date and minimizing data refresh frequency can help improve performance.
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One best practice is to minimize the use of calculated columns and instead utilize measures, as they are evaluated at runtime and can improve performance.
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Power BI
2024-08-07 04:37:07
What are some practical use cases for Power BI in the healthcare industry?
