When should you use Merge queries?

Using Merge queries is particularly effective when working with multiple tables to handle joins. Merge queries allow analysts to combine data from different sources or tables based on a related key or condition. This functionality is fundamental for integrating diverse datasets, particularly when the analysis requires consolidating information that is spread across multiple tables.

In practical scenarios, when performing data analysis, it is common to encounter situations where the data necessary for analysis resides in different tables but shares a common identifier. Using a Merge query streamlines the process of joining tables, eliminating the need for complex SQL joins and enabling a more intuitive visual approach to data consolidation.

The other choices highlight actions that are not suited for Merge queries. For example, deleting records is unrelated to merging and pertains more closely to data manipulation commands. Similarly, filtering data focuses on narrowing down the dataset, which can be accomplished independently without necessitating a Merge. Creating new tables might involve other types of queries or operations that do not directly correlate with the merging of tables. Thus, the most appropriate context for utilizing Merge queries is in situations involving the integration of multiple tables to perform joins.