Description: Pipeline Options in data processing frameworks refer to the configurations and parameters that allow users to customize and optimize the execution of their data processing pipelines. These options are essential for defining how a pipeline will behave during execution, including aspects such as resource allocation, error management, and parallelization configuration. By using these options, developers can adjust the performance of their applications, ensuring they meet the specific needs of their workflows. Pipeline options allow, for example, setting time limits for operations, defining the number of workers to be used, and selecting the execution mode, whether in streaming or batch mode. This flexibility is crucial for efficiently and effectively handling large volumes of data, enabling organizations to gain valuable insights from their data in real-time or through later analysis. In summary, Pipeline Options are an integral part of data processing frameworks, providing users with the necessary tools to optimize their data analysis processes.
