The lambda architecture proposes running two different systems in parallel: a batch processing system such as Hadoop MapReduce, and a separate stream-processing system such as Storm. In the lambda approach, the stream processor consumes the events and quickly produces an approximate update to the view; the batch processor later consumes the same set of events and produces a corrected version of the derived view.
