Webinar: Change Data Capture in Apache Iceberg

Описание: Mirroring tables from databases such as Postgres, MySQL or Oracle into a data lake makes transaction data broadly available for analytics while maintaining isolation for transactional databases.

Jason Reid, Head of Product, Tabular
Cliff Gilmore, Principal Solutions Architect, Tabular

Why CDC is technically challenging, including the need to create workload isolation, ensure strong consistency, and handle schema evolution
Iceberg techniques to address common CDC challenges include using append-only change logs, continuous processing, MERGE patterns, and delta files to avoid write amplification
A live CDC to Iceberg demo combining Debezium, the Kafka Connect Iceberg sink, and Tabular’s serverless CDC merge capabilities