Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

by Martin Kleppmann

Stream processing allows changes in the input to be reflected in derived views with low delay, whereas batch processing allows large amounts of accumulated historical data to be reprocessed in order to derive new views onto an existing dataset.