Parallel processing is a common computing approach to help solve large problems in a shorter period of time. By running the components of a problem concurrently, the total duration is greatly reduced. For example, to process 1,000 log files for one minute each, it takes over 16 hours if they are sequentially processed. When they are processed in parallel, the same task takes only one minute. Effective parallel processing requires scalable computing capacity but also adds complexity for you to orchestrate the parallel components and to produce a consistent result. In this session, learn how to leverage AWS Step Functions and AWS Lambda to achieve cloud-scale parallelism for your workloads.
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