This training teaches how to process Kafka data using SQL-like queries with KSQL, perform filtering, transformation, enrichment, windowed aggregations, stream-table joins, and expose materialized views via pull and push queries. It also covers Kafka Connect for integrating databases, file systems, and search engines using ready-made connectors, including CDC with Debezium, DLQ, retry, and monitoring for production-grade pipelines.
Learning Outcomes
- Build real-time materialized views using KSQL stream-table joins and windowing
- Design end-to-end pipelines using Kafka Connect source and sink connectors
- Operate sustainable integrations with schema management, DLQ, retry, and monitoring
Target Audience
- Backend developers
- Data engineers
- Streaming and integration teams
- Teams standardizing KSQL and Kafka Connect