Hm, perhaps some intro will help.
An event is a change in state, or an update of some key business system. An
event-driven architecture (EDA) consists of an event producer, an event
consumer, and an event broker. If we follow this line of thought, an event
is a primitive construct that travels
Hi gurus,
I am trying to understand the role of Spark in an event driven architecture. I
know Spark deals with massive parallel processing. However, does Spark follow
event driven architecture like Kafka as well? Say handling producers, filtering
and pushing the events to consumers like
