Change Data Capture (CDC) efficiently addresses the challenge of maintaining real-time data synchronization across multiple storage systems by leveraging database logs (such as MySQL's binlog or PostgreSQL's WAL) to capture changes, converting them into events through tools like Kafka, and enabling diverse applications such as cache invalidation, search indexing, data replication, and real-time analytics with an emphasis on scalability, data freshness, and fault tolerance, as demonstrated by industry solutions like Airbnb's SpinalTap, Uber's DBEvents, and the open-source Debezium built on Apache Kafka.
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