A new data engineer notices that a critical field was omitted from an application that writes its Kafka source to Delta Lake. This happened even though the critical field was in the Kafka source. That field was further missing from data written to dependent, long-term storage. The retention threshold on the Kafka service is seven days. The pipeline has been in production for three months.
Which describes how Delta Lake can help to avoid data loss of this nature in the future?
Ingesting all raw data and metadata from Kafka to a bronze Delta table creates a permanent, replayable history of the data state, ensuring that no critical data is lost even if it was omitted initially in the application writing process. This provides a safeguard allowing the recovery and inclusion of all necessary fields from the original source data.
Looks good - E
I think E is correct
I think E is correct
E is correct
Medallion Architecture is named in E. (Ingesting all raw data and metadata from Kafka to a bronze Delta table creates a permanent, replayable history of the data state.)