Learn AWS Serverless Computing

Batch

Batch processing is by far the most common type of data processing. If you consider, for example, traditional business intelligence and data warehouse workloads, usually there's a fixed schedule that defines when an Extraction, Transformation, and Load (ETL) will happen. Often, this implies taking action on a relatively large amount of data at once. The batch model is also the most cost-effective of all of the processing types and will generally be efficient enough for most of the business use cases out there.

Ideally, you should only consider micro-batch or streaming when you are sure the batch method is not good enough for your solution.

The next two processing types will increase complexity and costs as well. The most popular batch ...