A data analyst is gathering data from multiple tables in a database and needs specific columns from each table. What is the best method to accomplish this task?

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Joining tables lets you bring together related columns from different tables based on a common key, producing a single result set that contains exactly the fields you need from each table. This is ideal when you want to retrieve specific columns spread across multiple related tables and present them together for analysis. Aggregation would compute summaries rather than just pulling specific columns. Nesting can be used to fetch data via subqueries, but it’s usually more complex and less straightforward for combining multiple tables. Union stacks rows from separate queries and requires compatible structures, which isn’t suitable for pulling distinct columns from related tables. So, joining is the most direct and efficient way to obtain the desired columns from multiple tables.