What strategies do you use for writing efficient DAX code to handle large fact tables with millions of rows?
I'm working on a project that involves creating reports in Power BI, and I'm dealing with large fact tables containing millions of rows. I'm looking for effective strategies to write efficient DAX code to optimize performance and ensure fast query responses. What best practices can I apply to handle these large datasets effectively? Any guidance would be appreciated!