Nowadays any calculations and processing made on a Hadoop (and not only) cluster can be viewed as procesing batches of data. The size of the batches is significant. As batches go smaller, their arrive time becomes smaller and at some point we process such a data at almost online speed. So at some place small portion of data appears, and as it is small it can be transferred to processing point quickly, thus processing can be held immediately.