To make Databricks event-ready for machine learning, businesses can use tools such as:

• Snowplow: For collecting and streaming event-level data in real time
• Delta Lake: To store structured, clean data and ensure data consistency and ACID transactions
• Apache Spark: For scalable processing and transformations of event data
• MLflow: A Databricks tool for managing machine learning models, experiments, and deployment
• dbt: For transforming and preparing event data for machine learning applicationsbr