Stream Processing With Kafka Streams And Ksqldb
 

Stop waiting for batch jobs to finish. This course will teach you to build powerful, real-time data transformation pipelines by harnessing the capabilities of Kafka Streams and ksqlDB to process data the moment it's created.
What you'll learn
Your data pipelines are great at moving data, but how do you act on it in real time?
In this course, Stream Processing with Kafka Streams and ksqlDB, you'll gain the ability to build sophisticated, low-latency data processing applications directly on top of your Kafka topics.
First, you'll explore the Kafka Streams Java library to build stateful and stateless applications from scratch, learning to join and aggregate data to create a live-updating video game leaderboard.
Next, you'll discover how to achieve similar results with less code using the declarative power of ksqlDB, where you'll use a familiar SQL dialect to filter, transform, and persist a continuous stream of data.
Finally, you'll learn how to operationalize and monitor these workloads for production.
When you're finished with this course, you'll have the skills and knowledge of stream processing needed to build, query, and manage end-to-end, real-time data pipelines with Apache Kafka.