Change Data Capture
Change data capture (CDC) is a technique used in database management systems for capturing and propagating changes made to database records in real-time. It enables applications to synchronize data between different systems, replicate databases, and maintain data consistency across distributed environments. Readers can explore CDC methodologies, tools, and best practices for capturing and processing database changes, implementing event-driven architectures, and building real-time data integration pipelines.
Implementing Change Data Capture (CDC) with Docker, PostgreSQL, MongoDB, Kafka, and Debezium: A Comprehensive GuideShow HN: Peerdb Streams – Simple, native Postgres change data captureEvent driven Microservices using Kafka and RustDebezium 2.6.1.Final ReleasedDebezium 2.6.0.Final ReleasedUnderstanding Change Data Capture (CDC) in Database SystemsDebezium 2.6.0.CR1 ReleasedNative MySQL Source, now in Private PreviewDebezium 2.6.0.Beta1 ReleasedUber's CacheFront: Powering 40M Reads per Second with Significantly Reduced Latency
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