Use SQL on Apache Kafka with Confluent ksqlDB! Build an entire taxi booking application based on KSQL stream processing
Instruction covers essential operations including joins, windowing, rekeying, and merging streams across various data formats like CSV, JSON, and Avro.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This terminal screenshot demonstrates the successful installation of the Confluent CLI tool and displays its comprehensive help menu with available commands and configuration flags.
The instructor introduces key stream processing concepts, specifically highlighting joins and data encoding as essential topics for working with KSQL on ksqlDB.
The instructor introduces advanced KSQL topics including windowing, geospatial functions, and extensions like user-defined functions and aggregates.
An instructor is shown alongside the title 'DEPLOY AND TROUBLESHOOT KSQL APPLICATION', indicating a lesson focused on operational tasks for stream processing.
The curriculum includes technical coverage of scaling, load balancing, and state stores to prepare for real-world deployments.
One signal from late 2024 suggests that current versions of ksqlDB may differ significantly from the course examples, leading to unsupported commands or query errors during labs; note that the displayed update date does not prove these issues have been corrected.
A signal from late 2024 indicates that setting up examples may require additional debugging due to the use of older tools like Zookeeper in the instructional material; note that the displayed update date does not prove these issues have been corrected.
The curriculum aligns well with the target of developers and architects looking to learn KSQL through a practical application.
