Stream Processing Frameworks: Apache Kafka and ksqlDB
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 52m | 112 MB
Instructor: Harsh Karna
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 52m | 112 MB
Instructor: Harsh Karna
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.