Power BI Report Builder

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Power BI Report Builder

John Bazenas 0

I have a large dataset I am trying to make tables within Report builder, but I keep hitting data limits. what are some possible solutions to reduce the amount of data?

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2 answers

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Answer 1

Dear John Bazenas,

I understand your concern. As a starting point, I recommend following the guidance in the AI answer above, as it covers several of the most effective ways to reduce the amount of data processed by Power BI Report Builder.

In particular, consider filtering the dataset or query so only the required records are returned, using report parameters to limit the data users can request, and removing any unnecessary columns or rows. If the report only requires summary information, grouping or aggregating the data instead of returning detailed records can significantly reduce the dataset size.

Also keep in mind that paginated report visuals have data reduction limits. If your report exceeds those limits, filtering the data earlier in the query and narrowing the report scope can help prevent rows from being dropped or performance issues from occurring. For reference: Create and use the paginated report visual
If the report is based on a Power BI semantic model, you might also consider limiting the number of rows displayed by using a Top N filter or by designing the report so users first view summary data and then drill through to details as needed. This can significantly reduce memory consumption and improve performance without affecting the user experience. For reference: Apply the most restrictive filters

Since this forum is primarily focused on Microsoft 365 products and services, Power BI-specific questions are often best handled by the experts in the Microsoft Fabric Community. Therefore, for further recommendations, you can post your questions and receive more specialized assistance in the Microsoft Fabric Community, which is dedicated to Power BI, Power BI Report Builder, paginated reports, and related data platform products.

Here's the Microsoft Fabric Community (Power BI) site: https://community.fabric.microsoft.com/category/powerbi

If you have any questions or if I have misunderstood anything, please feel free to reach out.

Answer 2

Possible ways to reduce the amount of data in Power BI Report Builder:

Filter the dataset in Report Builder Add a dataset filter so only matching rows are used by all data regions in the report. A dataset filter uses a filter expression, operator, and comparison value, and the data types must match. Dataset filters can’t filter on aggregate values.
Filter earlier in the query Limit data in the dataset query to only what the report needs. Use query variables so report users can choose which data to see. For shared datasets, use filters based on report parameters.
Use report parameters to reduce returned data Parameters are useful for user-driven filtering. In paginated reports, a parameter can’t be both Multivalue and Allow null at the same time, though Multivalue can be combined with Allow blank.
Only include needed columns and rows Reduce both:
- Columns that aren’t needed for reporting, relationships, calculations, security, or formatting
- Rows that aren’t needed, such as unnecessary history or entities
Removing columns can break reports or model structure, so review dependencies first.
Group in the report when appropriate For intermediate amounts of data, grouping in the report instead of the query can help shape the output to what is actually needed. For large chart or matrix summaries, there’s no need to include detail data if only aggregated values are required.
Apply group filters To limit data displayed or used in calculations for detail or group data, set filters on the group.
For map reports, filter non-spatial fields If a map exceeds spatial element limits, set a dataset filter on a field that is not a spatial data type, reduce resolution, reduce the viewed area, or change the query to limit the spatial area.
If using the paginated report visual, stay below its reduction limit The paginated report visual has a built-in 30,000-value data reduction limit. If a field used in the visual has more than 30,000 values, rows above the limit can be dropped. To work around this, filter out unnecessary values or map parameters to fields with fewer values.