A data analyst is joining two tables with different content and one common field. Which of the following should the analyst do to most efficiently meet this requirement?

When two tables have different content but share a common field, a merge (also known as a join in SQL) is the standard and most efficient operation to combine them horizontally. This involves matching records from both tables based on the values in their common, related column, creating a wider table that includes all relevant fields.

Creating a cluster is a machine learning technique for grouping similar data points, not a method for integrating or joining two distinct tables based on a common field.

"Exploding" tables to identify unique values and reordering fields is a convoluted and inefficient process that does not achieve the goal of combining two tables based on a common field.

Appending combines tables vertically (stacking rows), which is suitable for tables with the same structure, not for combining tables with different content based on a common field. Concatenating fields is a string operation, not a table-joining method.