Google Cloud's introduction of BigQuery continuous queries addresses the challenge of moving real-time data from data warehouses to downstream platforms, eliminating the latency and operational overhead of traditional batch exports or change data capture methods. These continuous queries enable real-time data extraction from BigQuery, which can be routed through Google Pub/Sub to Apache Kafka® or Redpanda, facilitating the Reverse ETL pattern and providing immediate insights. By integrating with Redpanda, a Kafka-compatible streaming platform, businesses can efficiently manage large data volumes with familiar SQL syntax, enabling real-time applications such as personalization, anomaly detection, and analytics. This integration ensures that the latest data is always available for business actions by streaming continuous query results into Redpanda in real time, enhancing the ability to respond to new data as it arrives. Although the feature is currently in preview and subject to "Pre-GA Offerings Terms," it promises to maximize the utility of BigQuery for insights, especially for users already engaged in ETL workflows with Redpanda, and aims to close the data loop with Reverse ETL capabilities.