Pluralsight – Stream Processing with Kafka Streams and ksqlDB 2026
English | Tutorial | Size: 281.67 MB
Learn how to build scalable, real-time data pipelines using Apache Kafka, Kafka Streams, and ksqlDB.
What you’ll learn
Modern applications demand low-latency processing of events from clickstreams to financial transactions. Apache Kafka and its ecosystem offer a powerful foundation for building scalable, real-time pipelines. In this course, Stream Processing Frameworks: Apache Kafka and ksqlDB, you’ll gain the ability to design and implement streaming logic for real-time applications. First, you’ll explore Kafka’s architecture and how it supports scalable event streaming. Next, you’ll discover how Kafka Streams enables in-code transformations using Java. Finally, you’ll learn how to define streaming logic using SQL with ksqlDB. When you’re finished, you’ll be equipped to build real-time pipelines with Kafka, Kafka Streams, and ksqlDB ready for production-scale workloads.
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