In this episode of PithorAcademy Presents: Deep Dive, we introduce Kafka Streams, the powerful library that turns stored Kafka data into real-time insights. Kafka Streams makes it easy for developers to build event-driven applications directly on top of Kafka without needing an external processing cluster.
We cover:
Kafka Streams basics – what it is and why it matters
KStream vs KTable – core concepts for stream processing
Stateless vs Stateful operations – when and why to use them
By the end, you’ll understand how Kafka Streams empowers developers to build scalable, fault-tolerant, and real-time applications that process data as it arrives.
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