Power BI Memory and Performance Considerations
Excerpt From Book: Extreme DAX: Take your Power BI and Microsoft data analytics skills to the next leve l , Publication date: 20 Jan 2022, Author: Michiel Rozema, Henk Vlootman 1. Having fewer columns is better. 2. Use the Right data type. 3. Having many rows is no issues, but watch out for many values. 4. Avoid outliers - leave these values blank or choose special value that is close to actual values. 5. Do really need all that history? 6. Split columns for some cases: columns after split should end up with fewer distinct values.