What best defines batch data?

Batch data is characterized as a load of data that has a clear beginning and end, meaning it is collected, processed, and stored over a defined period before being analyzed or utilized. This can involve processing a large volume of data at once, typically at scheduled intervals, such as daily or weekly, rather than instantaneously. The nature of batch processing allows for the accumulation of data that can then be processed all at once, making it suitable for tasks such as reporting, data transformations, or aggregating information from various sources.

This definition aligns with the concept of batch processing in data systems, where data is often gathered in bulk before any analytical or operational activities take place, making it distinct from continuous or real-time data processing, which lacks a defined endpoint and operates on an ongoing basis. Understanding this distinction is crucial in contexts where selecting the appropriate data processing strategy can significantly impact performance and outcomes.