Description: Batch update is a process that involves modifying or processing a set of data records simultaneously, rather than doing so individually. This approach is fundamental in the field of data engineering and system integration, as it allows for the efficient handling of large volumes of information. In the context of ETL (Extract, Transform, Load), batch updates are used to load data from various sources into a storage system, applying necessary transformations along the way. This technique is especially useful in situations where data does not need to be updated in real-time, allowing for optimized resource usage and reduced load on systems. Additionally, batch updates can be implemented in various technologies, including machine learning frameworks, where large datasets are processed in each iteration. In general-purpose APIs, although the focus may not be primarily on batch operations, batch updates can also be performed to modify multiple records at once, thus improving the efficiency of write operations. In summary, batch update is a key technique in data management that optimizes performance and efficiency in information processing.
