A batch job is a method of processing large volumes of data or tasks by dividing them into smaller, manageable units ("batches") that run asynchronously.

Batch jobs are not limited to local data—they apply to any process that retrieves from a source, applies transformations, and performs actions on a target, whether within a single system or across connected systems.

Core Concepts

• Asynchronous Processing – Runs separately from the main application flow so heavy operations don't impact responsiveness.

• Data Chunking – Breaks large datasets into smaller batches for efficiency, scalability, and fault tolerance.

• Invocation – Can be scheduled, run on demand, or triggered by other automated processes, depending on platform capabilities.

In short: Batch jobs are a cornerstone of enterprise computing—powering efficient, scalable, and reliable high-volume processing both locally and across systems.