[Webinar] How to Protect Sensitive Data with CSFLE | Register Today
Learn how BigCommerce migrated 1.6 Billion events a day from Kafka to Confluent, saving 20+ hours a week in Kafka management in just five months.
BigCommerce had an ETL batch-based system that meant their merchants had to wait 8 hours before pulling any analytics and insights reporting (e.g., who is coming to their site, adding to their carts, popular products). The system consisted of 30 odd map-reduce jobs, which would sometimes fail and need manual intervention.
So what did they do?
This online talk showcases how BigCommerce transitioned their legacy ETL batch-based systems to an event-driven architecture in a four-phased approach.
Register now to learn how BigCommerce used Confluent to: