Techniques to reduce model size in Power BI Desktop

by Rhutvik14 on Jun 20th, 2025 13:17 PM

It is critical that you reduce the size of your model in Power BI Desktop, to increase performance, reduce refresh times and to stay within workspace
capacity. Removing unnecessary columns and rows from your tables is the most effective way to achieve this. By only bringing in the data you need for reporting, you ensure that your model is not overloaded with data that does not contribute to your report. Doing this has the added benefit of reducing your models memory and improving the overall performance.

When attending Power BI Classes in Pune, we train learners to stay conscious of using data type correctly - use numbers instead of strings for example - and also to avoid using high-cardinality columns where possible. Not only will this reduce the size of your model, it will improve query performance and also render time for visuals.

A complete Power BI Course in Pune will also illustrate the advantage of summary tables or aggregations to reduce the amount of data you must import into Power BI, while also suggesting to filter data at the source using Power Query functionality. This allows learners to limit the amount of data loaded in it.

Attending live in person Power BI Training in Pune gives professionals real-life experience and practice, using many tools that DAX Studio or VertiPaq Analyzer, to monitor their data models and optimize them. When implemented, these strategies give users the tools to develop scalable and responsive Power BI solutions suitable for enterprise-level reporting.