To run behavioral segmentation in Databricks using Snowplow data, follow these steps:

• Ingest real-time event data from Snowplow into Databricks using Kafka or Kinesis
• Use Apache Spark in Databricks to process and transform the Snowplow event data into meaningful features such as session duration, page views, purchase frequency, etc.
• Apply clustering algorithms like K-means or hierarchical clustering to segment customers based on their behavior
• Store the segmented data in Delta Lake for analysis and to feed personalized recommendations or marketing campaigns