Similarity Join

A similarity join is a process used in data analysis to find and connect items from two datasets that are similar to each other based on certain criteria, such as text, characteristics, or features. Think of it like matching customer profiles or product descriptions that share common traits. Instead of exact matches, it focuses on items that are close enough in meaning or content, which helps in tasks like data cleaning, deduplication, or recommendation systems. Essentially, it allows for finding meaningful connections between similar data points that may not be identical but are related.