S7E21 | Kafka Streams Explained: KStream vs KTable & Real-Time Processing for Beginners

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PithorAcademy Presents: Deep Dive

PithorAcademy

266 episodes

40 minutes ago

Welcome to Deep Dive, presented by PithorAcademy. Our mission is to simplify the latest technologies—why they were created, the problems they solve, and how they work—so you're always interview-ready and ahead in your tech journey. Whether you're a Java enthusiast, a cloud-native developer, or scaling microservices, gain real insights from those shaping the tech world. Join us as we unpack topics like Java development, cloud architecture, DevOps, system design, API strategy, career growth, and the ever-evolving tech landscape. Hosted by the PithorAcademy team.

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S7E21 | Kafka Streams Explained: KStream vs KTable & Real-Time Processing for Beginners

PithorAcademy Presents: Deep Dive

6 minutes 31 seconds

3 weeks ago

S7E21 | Kafka Streams Explained: KStream vs KTable & Real-Time Processing for Beginners

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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