BigQuery continuous queries enable reverse ETL pattern by streaming enriched data from BigQuery back to operational data layers using Aiven for Apache Kafka®. This allows companies to benefit from curated and enriched datasets in real-time, feeding the data into streaming tools like Aiven for Apache Kafka®, making the enhanced information available to downstream systems. The integration of Google Cloud Pub/Sub with Apache Kafka enhances the ETL process by closing the loop between operational and analytical workflows, allowing users to leverage insights from analytics storage directly in their business applications.