Daily Term: Batch Processing

Batch Processing

Batch Processing involves processing large volumes of data in discrete chunks, typically at scheduled intervals. For example, a company might process payroll data for all employees at the end of the month using Apache Spark. Batch processing is efficient for handling large datasets and non-time-sensitive tasks, like generating reports, but it introduces latency since data isn’t processed in real-time, making it unsuitable for time-critical applications.

Date: 2025-07-02