What setting should be enabled at the semantic model level to improve data handling for large datasets?

Enabling the large dataset storage format at the semantic model level is crucial for enhancing data handling, especially when dealing with extensive datasets. This setting optimizes how data is stored and accessed within the system, reducing memory consumption and improving performance during data retrieval and analysis.

When large datasets are involved, default storage methods can lead to inefficiencies that may result in longer loading times and slower processing speeds. The large dataset storage format allows the system to use more advanced and efficient data compression techniques, which helps in minimizing the footprint of the data while maintaining accessibility.

By utilizing this feature, users can seamlessly work with large volumes of data without facing the typical limitations associated with conventional storage options, thus ensuring a smoother and more effective data handling experience.