Snowplow enriches raw event data by performing several key operations before it lands in Databricks:

• Schema validation: Snowplow ensures that raw data conforms to defined schemas, preventing errors
• Enrichment: Snowplow enriches raw events with contextual data such as geographic location, user identifiers, and device information
• Data transformation: Snowplow transforms raw events into structured, high-quality data, which is ready for analysis and machine learning

The enriched events can then be processed and stored in Databricks for further analysis and machine learning.