[Webinar + Demo] BMW Group’s Omnichannel Transformation Using Data Streaming | Join!
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 tieing 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:
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.