Author: Matthew O'Keefe

Streaming data integration supports enriched, reusable, canonical streams that can be transformed, shared ,or replicated to different destinations, not just one.

Confluent Tableflow unifies operational and analytical data by integrating Kafka with zero ETL, leveraging open table formats such as Iceberg and Delta Lake. It offers advantages over traditional zero ETL by enabling data reuse, schema decoupling, and better scalability, streamlining data sharing.