Use Snowpipe for Continuous Data Ingestion: Snowpipe allows for continuous and automated loading of Snowplow data into Snowflake, reducing data latency.

Streamlining Transformations: Use dbt for incremental transformations, ensuring that only new data is processed instead of reprocessing the entire dataset.

Real-Time Model Training: Implement real-time model retraining pipelines within Snowflake or in connected ML platforms like Databricks, ensuring that models are regularly updated with the freshest Snowplow data.