What is the purpose of the correlation pattern in data integration?

The correlation pattern in data integration is utilized to synchronize only the intersection of two datasets. This approach is especially important when dealing with multiple sources of data where only the relevant, shared data points are needed for further processing or analysis. By focusing on the intersection, it ensures that only the data that exists in both datasets is considered, which can help maintain data consistency and integrity.

This integration pattern is essential in scenarios where overlapping data elements are required for decision-making or operational processes, as it allows organizations to work with the most pertinent information without involving unnecessary duplicates or unrelated records. It allows for a more efficient use of resources and enhances the quality of the output data by ensuring that only relevant intersections are synchronized across systems.