In the setup, the programmer must choose a certain amount of time during which the data that goes into Spark is split into batches. The stream that comes in (called "DStream") goes into the Spark stream.
The framework breaks up into small pieces called batches, which are then sent to the Spark engine to be processed. The batches are sent to the central engine by the Spark Streaming API. The final results from core engines can be streamed in batches. Even the way things are made is in batches. It lets data be processed both as it comes in and all at once.
