Course Outline
Introduction
Setting up Confluent KSQL
Overview of KSQL Features and Architecture
How KSQL Interacts with Apache Kafka
Use Cases for KSQL
KSQL Command Line and Operations
Ingesting Data (CSV, JSON, etc.)
Creating a Stream
Creating a Table
Advanced KSQL Operations (Joins, Windowing, Aggregations, Geospatial, etc.)
Deploying KSQL to Production
Troubleshooting
Summary and Conclusion
Requirements
- Experience with Apache Kafka.
- Java programming experience.
Audience
- Developers
Testimonials (6)
Las explicaciones eran muy buenas, si bien algunas preguntas pudieron ahorrarse si se hubieran tocado esos puntos al inicio de los temas se notó un buen dominio y experiencia en el tema.
Alan Jaime Rodríguez García - BANCO DE MEXICO
Course - Stream Processing with Kafka Streams
Sufficient hands on, trainer is knowledgable
Chris Tan
Course - A Practical Introduction to Stream Processing
I liked his pace for training, it was optimum.
Edwards Mukasa - AFRINIC Ltd.
Course - Microservices with Spring Cloud and Kafka
To the point, proper pace (bash basics required though)
Krzysztof - Agora SA
Course - Kafka for Administrators
very interactive...
Richard Langford
Course - SMACK Stack for Data Science
Very practical examples. The trainer has tried to keep a pace where everybody is able to go with even though the group was quite inhomogeneous regarding the knowhow. He has provided a lot of support to basically everybody who asked for it :)