What are batches primarily used for?

Batches are primarily utilized for processing large amounts of data efficiently. When dealing with extensive datasets, especially in applications that require significant data manipulation or transformation, using batches allows for handling this information in manageable pieces rather than overwhelming the system with entire datasets at once. This approach enables better performance, reduces strain on system resources, and can significantly speed up the processing time.

For instance, when importing or exporting data, a system might divide the job into smaller chunks, allowing it to complete the task without causing timeouts or performance degradation. Additionally, processing in batches can enhance the organization and structure of the data workflow, ensuring that operations are executed in a controlled manner. This is particularly advantageous when managing tasks like aggregations, updates, or any form of data migration, as it can maintain system integrity and reduce errors during execution.