Data Products, Data Contracts, and Change Data Capture
Key Takeaways
⇨ Change data capture (CDC) provides a powerful yet risky method for streaming data, as it exposes the internal data model of source databases to downstream consumers, potentially leading to system breakages and loss of trust if the model changes.
⇨ Adopting first-class data products reinforced by data contracts allows organizations to separate internal data models from external consumption models, facilitating safer data evolution and management without the need for additional tools.
⇨ Utilizing technologies like Flink SQL for building data products enables the integration of data from multiple sources, enhancing operational and analytical capabilities while providing a more robust framework for handling changes in data schemas.
Change Data Capture (CDC) is a popular method for connecting databases to data streams but can expose internal data models, leading to risks; the solution lies in developing first-class data products with data contracts that decouple internal and external models, facilitated by tools like Apache Kafka and Flink, allowing for reliable, high-quality data sharing while managing schema changes effectively.
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