How can you handle complex data transformations involving multi-step M queries in Power Query for large datasets?
I am working on a Power BI project that involves complex multi-step data transformations in Power Query for large datasets. These transformations are causing performance bottlenecks during data refreshes. What techniques or optimizations can I use to streamline these processes and improve overall efficiency?