One advanced technique for optimizing Tableau performance is to use data extracts instead of live connections. Extracts are an optimized snapshot of your data that can greatly improve query performance. Additionally, you can utilize Tableau's data engine and caching mechanisms to speed up workbook loading times. Other techniques include data source filtering, minimizing unnecessary calculations, and leveraging Tableau Server's scalability features.

Partitioning your data is another powerful technique. By dividing your data into smaller, manageable chunks, you can target specific subsets for analysis. This can dramatically improve query performance, especially when dealing with large datasets. Lastly, ensure that you are utilizing Tableau's latest versions and take advantage of any performance-enhancing features they introduce.

Another technique is to effectively utilize Tableau's level of detail (LOD) expressions. These expressions allow you to perform calculations at different levels of detail, providing flexibility and control. By strategically using LOD expressions, you can reduce the amount of data being processed, leading to improved performance.