You are tasked with finding the common elements between two large datasets. Which algorithmic approach would be the most efficient?

Hashing is the most efficient algorithmic approach for finding common elements between two large datasets. It allows you to create a hash table from one dataset and then quickly check for common elements in the other dataset, resulting in a time complexity of O(n) in average cases.