To use Databricks for real-time personalization based on Snowplow data:

• Capture real-time behavioral data using Snowplow trackers
• Stream this data into Databricks for real-time processing with Apache Spark or Delta Lake
• Use machine learning models or rule-based algorithms in Databricks to deliver personalized experiences, such as product recommendations or content delivery, based on current user actions
• The personalized experiences can be activated in real time across various channels, such as websites, mobile apps, or email marketing campaigns