Learn how to build real-time streaming applications with KSQL, the open source streaming SQL engine for Apache Kafka. Join us to walk away with an understanding of KSQL's architecture and how to design and deploy interactive, continuous queries for streaming ETL and real-time analytics.
After reviewing the basics of KSQL, we'll use Docker to bootstrap a clickstream app to see how easily we can process a stream of Kafka data. This session will walk through the following:
The KSQL environment and its dependencies
First and second order constructs such as Streams, Tables, and their behavior
Interacting with KSQL via the CLI, learning the basics
Build a simple end-to-end example that streams generated data into Grafana
Building a schema file
Monitoring the environment and resources
Walking through the clickstream ‘demo’ app
Adding additionality functionality to the demo app
KSQL roadmap