Discretized Streams (D-Stream) is an approach that handles streaming computations as a series of deterministic batch computations on small time intervals.
Discretized Streams (D-Stream) is an approach that handles streaming computations as a series of deterministic batch computations on small time intervals. The input data received during each interval is stored reliably across the cluster to form an input dataset for that interval. Once the time interval completes, this dataset is processed via deterministic parallel operations, such as map, reduce and groupBy, to produce new datasets representing program outputs or intermediate state
