Integrating Snowplow with Azure Cosmos DB enables ultra-fast, globally distributed personalization capabilities.

Event processing pipeline:

• Stream Snowplow event data into Azure Event Hubs for initial ingestion
• Use Azure Functions or Azure Stream Analytics to process and enrich the behavioral event data
• Apply real-time transformations to create personalization-ready data structures

Data storage and access:

• Store the enriched event data in Azure Cosmos DB, which provides fast, globally distributed data storage with millisecond latency
• Leverage Cosmos DB's global distribution to serve personalization data from the closest geographic region
• Use Cosmos DB's multi-model capabilities to support various data structures for different personalization use cases

Real-time personalization:

• Use the data from Cosmos DB to personalize user experiences on websites or apps in real-time
• Enable dynamic content recommendations, pricing adjustments, and user interface modifications
• Combine with Snowplow Signals to compute and serve real-time user attributes for even more sophisticated personalization