The latest release in the Apache Kafka Series!
Confluent ksqlDB has become an increasingly popular stream processing framework built upon Kafka Streams. It enables developers to write real–time stream processing applications with the ease of SQL. No Kafka Streams knowledge required!
For this course, I have partnered with KSQL expert Simon Aubury to bring you the ultimate KSQL course.
We’ll take a project based approach for this course. You’ll learn all the most important KSQL features by gradually building a KSQL taxi booking application!
KSQL Command Line
Streams with CSV, JSON and AVRO
Use the KSQL–Datagen utility
Advanced KSQL: Rekeying, Merging Streams, Windowing, Geospatial
Extending KSQL: UDF & UDAF
Moving to Production
Note: To best enjoy this course, a Mac or Linux machine is preferred. Windows users will have special instructions and would be better by leveraging a Linux VM.
You can take this course risk–free and if you don’t like it, you can get a refund anytime in the first 30 days!
Stephane Maarek is the co–instructor of this course. He is a Kafka Expert, guest author on the Confluent Blog and Program Committee for the Kafka Summits of 2019 in London, San Francisco and New York. He’s the author of the highly–rated Apache Kafka Series on Udemy, having taught already to 90,000+ students and received 26,000+ reviews.
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Specification: Apache Kafka Series – KSQL on ksqlDB for Stream Processing !
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