Another consideration is to design efficient data source connections. Utilizing direct connections to the underlying database or employing Tableau's data engine, Hyper, can contribute to faster data retrieval and analysis.

One way to optimize Tableau workbook performance is by reducing the number of marks displayed in the view. This can be achieved by filtering unnecessary data or aggregating at a higher level of detail.

Using Tableau's features like data blending, data scaffolding, and data densification can help in handling complex datasets and optimizing performance.

Utilizing Tableau's data extracts can also enhance performance. Extracts are optimized subsets of the data that can be stored and used in Tableau workbooks, resulting in faster queries and improved visualization rendering.

Lastly, employing Tableau's performance recording and monitoring tools, such as the Performance Recorder and the Server Monitoring capability, can help identify bottlenecks and optimize workbook performance.