Tracking Incremental Data with Change Data Feed(CDF) in Databricks

In this masterclass, you’ll learn how to track and process incremental data changes automatically using Change Data Feed (CDF) in Delta Lake.

What you’ll learn:

• Set up Databricks Free Edition and create your first notebook with serverless compute.

• Understand how CDF replaces manual watermarking (no need for created_at / updated_at columns).

• See how Delta Lake tracks all changes directly at the storage layer.

• Perform hands-on exercises using real customer data.

• Use COPY INTO for idempotent data loading.

• Query only changed records with table_changes().