batchbaserte

Batchbaserte describes processes or systems that operate on data, items, or tasks in discrete groups, or batches, rather than continuously. The term is common in Norwegian IT and industry to distinguish such approaches from real-time or streaming methods.

In computing, batchbaserte processing collects inputs over a period and then handles them as a single unit. This contrasts with real-time processing where each datum is processed immediately. Batchbaserte data pipelines often perform extraction, transformation, and loading (ETL) of data into data warehouses, and are typically scheduled to run at fixed intervals (for example nightly or hourly). Idempotence and reproducibility are important considerations to ensure that reprocessing batches does not produce inconsistent results.

In manufacturing and logistics, batchbaserte production and operations create items in defined lots or batches. Each batch undergoes its own set of processes, quality checks, and traceability records. Batch sizing, scheduling, and throughput optimization are central concerns, balancing efficiency with the need for quality control and recall capability.

Advantages of batchbaserte systems include high throughput, predictable workloads, simplified resource planning, and easier auditing. They can also reduce system complexity by decoupling data collection from processing. Limitations include data latency, limited immediacy in decision-making, and potential inefficiencies when batch windows are poorly tuned. Scalability often relies on parallel processing of multiple batches or distributing batch workloads across resources.

Related concepts include batch processing, ETL, batch jobs, and streaming or micro-batching as alternatives when lower latency is required.