Explore CDC stream processing with Apache Flink in this 34-minute conference talk from Data Council. Discover how Flink functions as a general data processor and data integration hub, with a focus on its SQL engine as a changelog processor. Learn about the ecosystem designed for processing CDC data and maintaining materialized views. Dive into the semantics of different data sources and techniques for performing joins or stream enrichment. Gain insights on using Flink with systems like Kafka, Debezium, and JDBC. Presented by Timo Walther, a top Apache Flink contributor and former co-founder of Immerok, this talk offers valuable knowledge for data professionals interested in stream processing and data integration.
Overview
Syllabus
CDC Stream Processing with Apache Flink
Taught by
Data Council