batched

Bathed? No. Batched is the adjective derived from batch. A batch is a group of items processed or produced together. When something is described as batched, it means it is handled as a single unit rather than individually, often following a defined size, order, or set of steps. The term is used across manufacturing, computing, and data processing, and it commonly implies that work is organized into discrete cycles or groups.

In manufacturing and software deployment, batch processing consolidates work to improve efficiency and throughput. Batch production involves producing items in predefined groups, enabling standardized operations and easier quality control. In computing, batch processing runs a set of jobs without interactive input, typically on a schedule or in response to a queue. Examples include nightly ETL pipelines, payroll processing, and software builds.

In data science and machine learning, batched operations group data samples to balance memory use and computational performance. Training algorithms often use minibatches, which can affect convergence and training time. The batch size is a trade-off between latency and statistical efficiency. In databases and APIs, batched updates or batched responses aggregate changes or results to reduce communication overhead, potentially increasing overall throughput at the expense of longer latency for individual items.