Snowplow integrates effectively with Azure Functions to enable serverless, event-driven data processing. Events collected by Snowplow stream into Azure Event Hubs, where they can trigger Azure Functions for real-time processing.
These serverless functions can perform various actions including:
- Data transformation and enrichment
- ML model invocation
- Integration with other Azure services
- Real-time analytics and alerting
This serverless approach provides automatic scaling, cost efficiency by paying only for execution time, and the ability to respond to events immediately as they occur. Azure Functions can also integrate with Snowplow Signals to compute real-time user attributes or trigger personalized interventions based on specific behavioral patterns.