CDC Without Complexity Using Iceberg v3 Row Lineage
Read OriginalThis article discusses how Apache Iceberg v3 row lineage simplifies change data capture (CDC) by embedding unique _row_id and _last_updated_sequence_number columns directly into the table format. It eliminates the need for separate infrastructure like Debezium, Kafka Connect, and schema registries. The feature is GA on Snowflake and Databricks, supported by Apache Spark. The article covers implementation requirements, incremental processing, audit/compliance use cases, and operational practices, comparing it to traditional CDC approaches.
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