🌟 Session Overview 🌟

Session Name: Data Contracts In Practice With Debezium and Apache Flink Speaker: Gunnar Morling Session Description: Log-based change data capture (CDC) is an invaluable part of the data engineering toolbox: it enables a variety of use cases such as real-time analytics, full-text search, or cache invalidation by publishing data change events from your database. But when publishing change event streams across context or team boundaries, aren’t you tying external consumers to your application’s data model, thus limiting yourself in evolving the same?

Enter data contracts—consciously designed abstractions between your internal data model and the outside world. Come and join us for this session to learn about:

Challenges you may encounter when exposing table-level change event streams and how data contracts can mitigate them Implementation strategies for data contracts, such as the outbox pattern and stream processing Evolving your data model and the corresponding data contracts without breaking any existing consumers We’ll also touch on some advanced topics at the intersection of CDC and stream processing, such as hydrating partial change events, using the popular change stream processing duo of Debezium and Apache Flink.

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ABOUT THE TALK: Microservices are one of the big trends in software engineering of the last few years.

In this session we'll discuss and showcase how open-source change data capture (CDC) with Debezium can help developers with typical challenges they often face when working on microservices.

Learn how to:

• Employ the outbox pattern for reliable, eventually consistent data exchange between microservices, without incurring unsafe dual writes or tight coupling
• Gradually extract microservices from existing monolithic applications, using CDC, the strangler fig pattern and Apache Flink
• Coordinate long-running business transactions across multiple services using CDC-based saga orchestration, ensuring such activity gets consistently applied or aborted by all participating services.

ABOUT THE SPEAKER: 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.

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