What is the primary purpose of data filtering in Informatica Cloud?

Data filtering in Informatica Cloud serves the essential function of improving performance by reducing the amount of data processed. When working with large datasets, the volume of data can significantly impact processing speed and resource utilization. By using filters, you can specify conditions that determine which records should be included in the processing workflow, thereby minimizing the number of rows that need to be handled.

This selective processing not only streamlines data pipelines but also enhances overall efficiency. When unnecessary data is excluded early in the workflow, it reduces the load on the integration processes, leading to quicker execution times and lower consumption of computational resources. This aspect of data filtering is crucial in scenarios where large amounts of data might slow down performance or increase costs.

The other options, while relevant to different aspects of data management, do not capture the primary purpose of data filtering in the context of performance improvement.