Description: A batch workflow is a sequence of processes that manage batch jobs. This approach allows for the efficient and organized execution of tasks by grouping multiple operations into a single data set. In the context of data processing systems, a batch workflow is used to process large volumes of data systematically, enabling users to define transformations and analyses on the data in a scalable environment. The main features of a batch workflow include the ability to handle data in large quantities, the possibility of scheduling tasks for execution at specific times, and resource optimization, resulting in more efficient use of infrastructure. This type of workflow is especially relevant in scenarios where data does not need to be processed in real-time, such as in historical data analysis, report generation, and data processing for machine learning. By allowing the automated execution of complex tasks in the background, batch workflows facilitate data-driven decision-making and enhance productivity across various business applications.
