There is not enough time to give an in-depth introduction to Spark Streaming here, but we can, at the very least, touch on some of the key notions, provide some examples, and give some guidance to more advanced topics.
Spark Streaming is Spark's module for stream data processing, and it is indeed equipped with all the properties we explained in the preceding list: it is a highly fault-tolerant, scalable, and high-throughput system for processing and analyzing streams of live data. Its API is a natural extension of Spark itself and many of the tools available for RDDs and DataFrames carry over to Spark Streaming.
The core abstraction of Spark Streaming applications is the notion of DStream, which stands for discretized ...
