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As a Microsoft Fabric Analytics Engineer Associate working on a data transformation project, you are tasked with implementing a data aggregation process to support business intelligence reporting. The project involves processing large datasets from multiple sources, with the goal of providing insights into customer behavior across different regions. Given the complexity of the data and the need for timely insights, which of the following considerations is MOST critical when designing the aggregation logic? Choose one option.
A
Prioritizing the speed of data processing over the accuracy of the aggregated data to meet tight reporting deadlines.
B
Focusing solely on the relationships between the data sets to simplify the aggregation logic, disregarding system resource constraints.
C
Considering the level of granularity required for the aggregated data and the specific measures to be calculated, while also evaluating the size of the data sets and the available system resources.
D
Ignoring the desired output format and focusing only on the technical aspects of data aggregation to ensure the process is as efficient as possible.