Batch layer

The Batch layer in data processing systems manages large volumes of data by periodically processing and updating stored results in bulk, rather than handling data in real-time. It collects raw data over a set period, performs complex computations or aggregations, and then updates the master dataset with new insights. This approach ensures the system maintains comprehensive, accurate, and historical data analysis. Think of it like a researcher summarizing and updating a comprehensive report after gathering a month's worth of data, providing a solid foundation for analysis but not instant updates.