You are a data analyst using the Power Query Editor in Power BI. You have imported three separate queries: Sales_2023, Sales_2024, and Sales_2025. Each query contains sales data for a different year but has the exact same column structure and data types: OrderID, ProductKey, OrderDate, Quantity. To perform a multi-year trend analysis, you need to combine all rows from these three queries into a single, comprehensive table. Which Power Query operation should you use to achieve this?
The correct operation is 'Append Queries'. The 'Append' operation stacks data from multiple tables that have the same or similar schemas, creating a single table with all the rows from the source tables. This is ideal for combining datasets that are partitioned by time (like yearly or quarterly sales) but share the same structure. 'Merge Queries' is incorrect because it joins tables horizontally based on a matching key column, which adds columns, not rows. 'Reference' creates a new query linked to a single source query but does not combine it with others. 'Group By' is an aggregation feature used to summarize data within a single table, not to combine multiple tables.
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