Change Stream Processing with Debezium and Apache Flink

Log-based change data capture (CDC) is a key component of the modern data streaming stack, used for data replication, feeding search indexes, low-latency data warehouse updates, and more. Merely taking data from A to B often is not enough though; instead, change event streams may need to be filtered or routed based on event contents, multiple streams be joined, continuous query be updated, etc. Enter Apache Flink: it lets you do stateful stream processing on Debezium change event feeds. Join us for this evening and learn about: * What is Apache Flink and how does it work * What is Change Data Capture and Debezium * Implementing streaming queries on CDC events with the Flink data stream API and Flink SQL * Aggregating and enriching change data events in real-time Robert Metzger, Staff Engineer at decodable Robert Metzger is a committer and PMC member at Apache Flink. Recently, he has focused on improving the deployment and operation experience of Flink, with a focus on autoscaling and generally working towards cloud native Flink. Gunnar Morling, Senior Staff Engineer at Decodable Gunnar Morling is a software engineer and open-source enthusiast by heart, currently working at Decodable on stream processing based on Apache Flink. In his prior role as a software engineer at Red Hat, he led the Debezium project, a distributed platform for change data capture. He is a Java Champion and has founded multiple open source projects such as JfrUnit, kcctl, and MapStruct. Gunnar is an avid blogger (morling.dev) and has spoken at a wide range of conferences like QCon, Java One, and Devoxx. He lives in Hamburg, Germany. Event website: https://www.aicamp.ai/event/eventdetails/W2023092717