To store Snowplow events in Azure Data Lake Storage, follow this streamlined approach:

• Stream your Snowplow event data into Azure Event Hubs as the initial ingestion point
• Your behavioral data is delivered to the Azure Data Lake where you can use it via OneLake and Fabric or via Synapse Analytics and Azure Databricks
• Use Azure Stream Analytics or Azure Data Factory to transform and route the event data from Event Hubs to Azure Data Lake Storage

Azure Data Lake provides scalable, cost-effective storage for both raw and processed event data, supporting various analytics and machine learning workloads. This setup ensures your Snowplow data is stored in a format that's easily accessible for downstream processing, whether for batch analytics, real-time processing, or feeding into Snowplow Signals for operational use cases.