To build a composable CDP using Databricks and Snowplow:

• Start by using Snowplow to capture first-party event data from various customer touchpoints (web, mobile, etc.)
• Stream the data into Databricks for real-time processing and transformation, leveraging Apache Spark for large-scale data processing
• Store transformed data in a data warehouse like Delta Lake for scalable, reliable storage
• Use Databricks' machine learning capabilities to create insights and segmentation based on customer behavior
• Integrate the processed data with marketing platforms for personalized customer engagement and real-time campaign execution