What is the main purpose of aggregation functions in an Aggregate?

The primary function of aggregation functions in an Aggregate is to summarize data from the Source Entities. These functions enable the retrieval and processing of data in a way that condenses large datasets into meaningful summaries, such as averages, totals, counts, or maximum and minimum values. This summarization is crucial when you need to derive insights from the data without sifting through individual records.

Aggregation functions help to provide a higher-level overview of the data, which is particularly beneficial for reporting and analytics. By summarizing the information, users can quickly comprehend trends, make comparisons, and drive decision-making based on the resultant data.

Other options relate to different tasks within data handling processes. Creating extra attributes pertains to manipulating the output structure rather than summarizing existing data. Filtering records focuses on selecting specific subsets of data rather than aggregating it. Modifying the structure of the Aggregate typically involves changing the layout or format of how data is presented rather than summarizing content within it.