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In this interview, we talk about Change Data Capture with Debezium and Flink.
We are excited to have experts in this field as our guests, interviewed by Robert Metzger, Apache Flink PMC chair:
- Gunnar Morling, Senior Staff Software Engineer at Decodable and one of the creators of the Debezium project and also a Java Champion.
- Jark Wu leads Flink SQL and Flink CDC teams at Alibaba(Ververica). He is devoted to building a fully-managed Apache Flink service on Alibaba Cloud. Besides, he is a PMC member and Committer of the Apache Flink project. He has worked on Flink SQL for five years and created the Flink CDC project.
- Leonard Xu is a senior software engineer at Alibaba(Ververica), currently working to build the fully-managed Apache Flink service on Alibaba Cloud. Besides, he is the core committer of Flink SQL and has been leading the Flink CDC open source project since 2021
Watch The Interview
New CDC connectors for MySQL and PostgreSQL: Don’t Let Your Data be a Day Late and a Dollar Short
Decodable’s support for CDC (Change Data Capture) advanced further with the release of source CDC connectors for MySQL and PostgreSQL. Source CDC connectors convert traditional database tables into sources of streaming data for processing and delivery to sink systems via Decodable. This blog explains more about CDC with demos for the CDC connectors and Decodable's change processing capabilities.
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WEBINAR: Change Stream Processing With Apache Flink
In this demo-heavy webinar Gunnar Morling and Sharon Xie answer common questions on change stream processing: - What is Change Data Capture (CDC) and why should I care? - What do I gain when I integrate CDC with Apache Flink? After this introduction, they switch to code to show how it works in a demo that includes CDC sources, stream processing and delivery to an Elastic database for searching.
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