Event-driven Composable CDP Architecture Powered by Snowplow and Databricks

This article discusses the evolution of Customer Data Platforms (CDPs) and introduces a next-generation composable CDP architecture powered by Snowplow, Databricks, and AWS.

• Challenges with traditional CDPs include complex integrations, privacy concerns, and data management
• A composable CDP offers modular architecture allowing organizations to customize data collection, management, and activation
• Snowplow provides real-time event tracking with rich contextual data collection
• Databricks offers data management, governance, and AI/ML capabilities through its Lakehouse platform
• The solution enables organizations to build flexible, scalable customer data infrastructure with full data ownership

The case study of Burberry demonstrates how this approach can revolutionize customer experience by reducing data latency and enabling personalized interactions across digital and physical channels.