Can Snowplow feed real-time event streams into Databricks for ML model training?

Yes, Snowplow can feed real-time event streams into Databricks for machine learning model training. By using platforms like Apache Kafka or AWS Kinesis, Snowplow streams real-time event data into Databricks, where it can be processed and used for feature engineering.

Databricks' scalable platform allows for training machine learning models using this real-time data, ensuring that models are continuously updated with the latest customer behavior and event data.

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Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.