Design Microservices Architecture with Patterns and Principles - CDC - Change Data Capture with Outbox Pattern

The video tutorial explains the use of Change Data Capture (CDC) in combination with the Artbox pattern to synchronize data between microservices. It introduces the Outbox pattern, which helps decouple data updates from propagation processes, using an e-commerce application as an example. The tutorial details the implementation of CDC with log-based approaches, highlighting the use of Debezium connectors for database integration and real-time event streaming to Apache Kafka.

How does Change Data Capture help in synchronizing data between microservices?

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What is the purpose of the Artbox pattern in microservice architecture?

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What are the benefits of using Change Data Capture in combination with the Outbox pattern?

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Explain how Change Data Capture can track changes in an e-commerce application.

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Describe the process of creating a change event in the outbox table.

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What is the significance of using a log-based approach for Change Data Capture?

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How does the Debasium connector facilitate Change Data Capture for databases?

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