Near Real-Time ELT with Apache Kafka® & Snowflake

Convoy has successfully implemented a near real-time ELT pipeline using Apache Kafka® and Snowflake, which has significantly improved data accessibility and timeliness within the company. The new system ensures low latency, zero data loss, and low maintenance, enabling teams to make data-driven decisions more effectively. The design of this system includes Debezium Source Connector for change data capture, Apache Kafka for event streaming, Snowflake Sink Connector for data ingestion, and Snowflake Streams & Tasks for continuous data transformation. This implementation has led to a significant reduction in data warehouse latency, allowing the company to maintain trust in its data sources while scaling operations.