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Debezium Blog

While the team has been hard at work on Debezium 3.1, we’re pleased to announce a new maintenance update for Debezium 3.0.8.Final.

While our maintenance releases often focus primarily on stability improvements, we are happy to share that we’ve also included some new features in this maintenance release to improve the overall user experience.

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Change Data Capture (CDC) is a cornerstone of modern cloud-native architectures, enabling real-time event-driven applications. Debezium, a leading CDC platform, provides powerful Single Message Transformations (SMTs) to filter, route, and modify data streams before they reach their destination.

While Debezium is a Java-based project, many cloud-native applications are built in Go. With this latest enhancement, you can now write SMT filters and routers in Go, allowing Go developers to fine-tune data processing within a Java technology thanks to TinyGo and WebAssembly.

This blog post explores how to use Go plugins in Debezium, demonstrating how this feature enhances flexibility and customization for cloud-native teams.

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We’re pleased to announce the next pre-release of Debezium 3.1, 3.1.0.Alpha2. This release includes a number of breaking changes, new features, and improvements.

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Hello Debezium Community! I am Alvar Viana and exactly one month ago I joined Red Hat and the Debezium team. I am a software engineer with almost 10 years of professional experience. In my career, I have always worked for product companies/projects. Started as backend/embedded developer for a company that was acquired ABB. A few years later I changed my life, cities, jobs and roles. Since then, I worked at adidas and Sysdig as a...

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When it comes to replicating operational data for analytics, Change Data Capture (CDC) is the gold standard. It offers scalability, near real-time performance, and captures all data modifications, ensuring your analytical datasets are always up-to-date. Debezium is a leading tool in this space, connecting to a wide range of databases and exporting CDC events in various formats like JSON and Avro, making integration with diverse systems a breeze.

While Debezium itself is a Java-based project, the data engineering world increasingly relies on Python. This blog post demonstrates how to leverage Debezium within a Python environment, using pydbzengine. We’ll explore how to use these technologies to build a robust and scalable CDC solution.

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