Data modeling is an important component of any Power BI project. It allows you to bring together data from multiple sources and create an environment that enables you to effectively analyse, visualise, and report on the data. By optimising your data models, you can ensure that your Power BI project runs smoothly and efficiently. Here are some tips and tricks to help you optimise your data models in Power BI. 

1. Use the right data model: The data model you choose should match the type of data you are working with. For example, if you are dealing with transactional data, a star schema is the most suitable data model. If you are working with data related to customer relationships, a snowflake schema is the best choice. 

2. Utilise data compression: Data compression can help reduce the size of your data models and improve performance. Power BI has several compression options, such as row-level compression, column-level compression, and page-level compression. 

3. Choose the right data types: Choose the data types that are most appropriate for the type of data you are dealing with. For example, if you are dealing with text data, use the text data type instead of a numeric data type. This will help reduce the size of the data model and improve performance. 

4. Optimise query performance: Optimising queries can help improve performance and reduce the time it takes to run queries. You can do this by using query optimisation techniques such as indexing, partitioning, and caching. 

5. Leverage in-memory technology: In-memory technology enables you to store data in memory instead of on disk. This can significantly improve query performance and reduce the time it takes to run queries. 

By following these tips and tricks, you can optimise your data models in Power BI and ensure that your Power BI project runs smoothly and efficiently.