Understanding Stream-Table Duality Using Kafka, Flink SQL and Debezium Format

Explore the fascinating concept of stream-table duality in this 27-minute talk from The ASF. Dive into the world of running SQL queries on streaming data as if they were relational tables, and learn how to convert tables into streams of changelog events. Discover the inner workings of this process using Flink SQL, Kafka connector, and Debezium JSON/Avro format. Gain insights into stream-table duality, change data capture (CDC) event descriptions, and executing SQL queries on changelog data. Watch a short demo and participate in a Q&A session to solidify your understanding. By the end of this presentation, acquire a comprehensive grasp of stream-table duality, its practical applications, and how to implement it in your own systems. Presented by Muhammet Orazov from Ververica, the original creators of Apache Flink®, this talk leverages his expertise in databases, distributed systems, and streaming systems.