What is the impact of data batching in Relativity Web Processing?

Data batching in Relativity Web Processing plays a crucial role in enhancing the efficiency and effectiveness of the processing workflow. It allows multiple items to be processed simultaneously, which leads to optimized processing times. By grouping data into batches, the system can take advantage of parallel processing capabilities, minimizing the overall time taken to process large datasets. This approach also improves resource utilization, as it can handle multiple requests or processes at once without overwhelming the system.

This simultaneous processing means that jobs can complete faster and system resources can be allocated more efficiently, leading to a smoother operation within the Relativity platform. The use of batching can therefore significantly enhance the performance of data processing workflows by ensuring that resources are used optimally while maintaining high levels of productivity.