Which action should you take to reduce memory usage in a semantic model with a large Orders table?

The action of splitting OrderDateTime into separate date and time columns is an effective method for reducing memory usage in a semantic model with a large Orders table because it allows for optimization of data types.

When date and time data are stored together in a single column, they typically consume more memory than necessary because they contain both the date and time components. By creating two distinct columns—one for the date and another for the time—you can assign appropriate data types to each. For instance, the date can often be stored as a simpler data type, which requires less memory than the combined datetime format. Additionally, this separation allows for more efficient querying and indexing, further reducing the overall memory footprint.

This approach is particularly valuable when the time component is not as frequently queried or needed for analysis, meaning that the storage needs can be minimized without sacrificing the model’s functionality or user needs. Overall, this change optimizes the data structure, making the semantic model more efficient in handling large volumes of data.