When is it essential to validate query results?

Validating query results after computing aggregates is crucial because this step ensures the accuracy and reliability of the summarized data generated from potentially large datasets. Aggregation involves processes like summing, averaging, or counting records, which can change the interpretation of the underlying data. If the aggregates are not accurately computed, it can lead to misleading conclusions or incorrect insights being drawn from the data.

When aggregates are computed, there is a risk of introducing errors through misconfiguration of the query or misunderstanding of the data structure. Therefore, validating the results at this stage confirms that the aggregation reflects the intended calculations based on the original data set.

In other contexts, such as validating query results only when using joins, while exploring data modules, or before executing any query, the necessity for validation is not as critical as in the case of computed aggregates. Each of these activities has its importance, but the potential impact of erroneous aggregate results makes it particularly essential to validate at that point.