You have the tables shown in the following table. The Impressions table contains approximately 30 million records per month. You need to create an ad analytics system to meet the following…

Grouping impressions into a new table or changing the grain of the fact table explicitly would either increase the data model size (if it's a new table) or reduce the granularity of the original data, which might not be desired for flexible analysis.

Creating one-to-many relationships establishes a star schema, which is crucial for efficient data modeling, reduced redundancy, and optimized query performance, thereby helping to minimize the data model size by linking dimension tables to a compact fact table.

Creating a calculated measure using functions like COUNTROWS aggregates data on-the-fly during query execution, which significantly minimizes data model size compared to storing pre-calculated results in calculated columns or tables.

Creating a calculated table containing these columns would increase the data model size by duplicating or storing summarized data, directly contradicting the requirement to minimize model size.