Description: Batch execution is a process that allows for the execution of jobs or tasks in groups or batches, rather than performing each task individually and in real-time. This approach is particularly useful in environments where large volumes of data are handled, as it optimizes resource usage and improves processing efficiency. Batch execution refers to the ability to process complete datasets in a single operation, rather than doing so continuously. This means that it can handle both real-time data streams and stored data, making it a versatile tool for data analysis and processing. Batch execution allows developers to define jobs that run over specific datasets, facilitating tasks such as aggregation, filtering, and data transformation. Additionally, this approach can be easier to implement and debug compared to real-time processing, making it attractive for many data analysis applications.
